Predictive analytics in smart healthcare for child mortality prediction using a machine learning approach
-
Farrukh Iqbal
Abstract
In developing countries, child health and restraining under-five child mortality are one of the fundamental concerns. UNICEF adopted sustainable development goal 3 (SDG3) to reduce the under-five child mortality rate globally to 25 deaths per 1,000 live births. The under-five mortality rate is 69 deaths per 1,000 live child-births in Pakistan as reported by the Demographic and Health Survey (2018). Predictive analytics has the power to transform the healthcare industry, personalizing care for every individual. Pakistan Demographic Health Survey (2017–2018), the publicly available dataset, is used in this study and multiple imputation methods are adopted for the treatment of missing values. The information gain, a feature selection method, ranked the information-rich features and examine their impact on child mortality prediction. The synthetic minority over-sampling method (SMOTE) balanced the training dataset, and four supervised machine learning classifiers have been used, namely the decision tree classifier, random forest classifier, naive Bayes classifier, and extreme gradient boosting classifier. For comparative analysis, accuracy, precision, recall, and F1-score have been used. Eventually, a predictive analytics framework is built that predicts whether the child is alive or dead. The number under-five children in a household, preceding birth interval, family members, mother age, age of mother at first birth, antenatal care visits, breastfeeding, child size at birth, and place of delivery were found to be critical risk factors for child mortality. The random forest classifier performed efficiently and predicted under-five child mortality with accuracy (93.8%), precision (0.964), recall (0.971), and F1-score (0.967). The findings could greatly assist child health intervention programs in decision-making.
1 Introduction
The World Health Organization (WHO) and United Nations International Children’s Emergency Fund (UNICEF), in 2004, established an Inter-Agency Group for the approximation of child mortality (UNIGME) and for sharing data on mortality of children, estimation of mortality rates of children with improved techniques, provide insights into the improvement in achieving child survival targets and improve country capacity for producing timely and reliable under-five mortality estimates. Child deaths can be handled with naive approaches such as improving mothers’ education, providing clean water, and appropriate treatment by health care providers. A considerable reduction can be noted globally in deaths of under-five children; however, it is a fundamental health problem in underdeveloped countries. The latest international figures indicate that there were 5.3 million under-five deaths in 2018, which can be considered as 15,000 deaths per day [1,2,3].
Universally, the death rate for males and females used to be “41” and “36” deaths for every 1,000 live births. About 2.9 million males and 2.4 million females lost their lives before reaching the age of five, uncovered in the UNICEF Report 2019. Lowering the death of children in developing countries is one of the main obstacles. For the accomplishment of sustainable development goals (SDGs), more than 50 countries need to accelerate reductions in under-five mortality of children. Democratic Republic of Congo, Pakistan, Nigeria, and India contributed to half of all under-five child deaths in 2018. Following the SDGs, the aim is the reduction of the under-five death rate of children by 2030 to at least 25 per 1,000 live births.
In the last six decades, since its independence, Pakistan has made substantial economic growth, as measured by some main social indicators. Facilities for health and education have been extended and strengthened, and life expectancy has increased. Child mortality rates have dropped, yet the world’s seventh most crowded nation on the planet, with approximately 220 million inhabitants, faces serious problems in the maternal and child health sector [4,5,6,7,8]. Child death rates are a major problem in developing countries, especially in Pakistan, which needs more attention. The death rate of under-five children is still high in Pakistan despite various package-based programs being introduced in Pakistan. According to Pakistan Demographic Health Survey, there is a decrease in the under-five child death rate, which has diminished to 74/1,000 in 2017–2018, whereas it was 112/1,000 in 1990–1991.
The Pakistan Demographic and Health Survey [9,10] captures and preserves a wide range of information. To facilitate health professionals in recovering helpful knowledge and information from these huge datasets, a novel generation of computational approaches and tools is urgently needed. Predictive analytics is a domain that examines historical and real-time data to generate predictions using diverse techniques such as modeling, data mining, statistics, and machine learning. Predictive analytics gives clinicians, financial analysts, and administrative staff a heads-up on potential conditions before they occur, allowing them to make proactive decisions about how to proceed. In the past, data mining techniques have been widely employed for medical diagnosis, financial forecasting, and credit-card fraud detection. Lately, these techniques have been employed for various objectives such as the identification of child mortality dynamics, locating correlations among the key parameters, and analyzing data from large datasets to identify previously unknown patterns, which it then uses to develop prediction models.
Earlier literature studies have revealed major risk factors of child mortality, which aids in determining the priority areas for intervention initiatives in order to minimize child mortality and improve child health. Moreover, a generic prediction framework is lacking for reliable assessment of child mortality employing machine learning algorithms, as well as the potential to score prominent variables and establish healthcare systems that accommodate well in developing countries.
Therefore, the goal of this study is to create a predictive framework that health professionals may use to forecast child mortality in order to make timely interventions and possibly reduce elements that cause high mortality rates. The validation of our contributed framework is conducted using the Pakistan demographic health survey dataset. Supervised machine learning classifiers, like random forest (RF), decision tree (DT), naive Bayes (NB), and extreme gradient boosting (XGB) have been verified on real-world datasets.
1.1 Contribution
The main contribution of this study is illustrated below:
This proposed work contributes to improving childhood health by analyzing the risk factors in child mortality with the help of an automated feature selection method, the information gain, and a predictive analytics framework for the prediction of child mortality.
With the help of machine learning algorithms such as DT, RF, NB, and XGB after being tested on Pakistan demographic and health survey dataset, we evaluate the efficacy of RF with 93.8% accuracy which surpassed the other classifiers.
1.2 Scheme organization
In this article, Section 2 describes the literature review of the related studies. Section 3 presents the methods used in this study for the development of the framework. Section 4 demonstrates the results and comparative analysis. Section 5 concludes this article.
2 Literature review
We examined thoroughly interrelated work and highlight the benefits and curbs of previously described methodologies. Furthermore, we only evaluated articles that analyzed data from developing countries and used automated methods for the estimation of child mortality.
In Tesfaye et al. [9], the data mining approach employed to develop a web-based child mortality estimation model is in the Ethiopian language. The Ethiopian demographic and health survey dataset was used for training and testing DT and PART algorithms. Statistical Package for the Social Sciences (SPSS) was used for the analysis and Waikato environment for knowledge analysis (WEKA) for the implementation of data mining algorithms. Performance evaluation metrics such as accuracy, precision, and recall were used to evaluate the performance of the classification models. In Ethiopia, the developed prediction model supported child health programs. Although DT and PART algorithms were employed, no decision rules were defined and addressed. Over-fitting is the major problem in DT, which can be resolved with a collection of DTs. Ensemble-based methods and feature selection methods were not tested.
Rabbani and Qayyum [11] state that Pakistan is among the countries with the highest death rate among children under the age of five and the authors looked into the major factors that influence under-five child mortality. Pakistan demographic and health survey data collected through the National Institute of Population Studies (NIPS) were used in this study and revealed that infant mortality causes high child mortality. Logistic regression and maximum likelihood estimation were used for the estimation of mortality and to develop effective strategies to overcome child deaths. Moreover, health professionals must have an understanding of local-level areas and their populations. The economic status of mothers, exposure to media, and education of mothers were found to be significant determinants to reduce child mortality.
Ahmed et al. [12] revealed the fact that child mortality in Pakistan is linked to social, economic, and environmental factors. They employed binary logistic regression to assess child mortality. Mother’s education, the interval among births, the number of members in the family, the size of the child at birth, breastfeeding, birth order, and region are all critical risk factors of child mortality in Pakistan, according to this study. Furthermore, breastfeeding on time reduces the risk of mortality in children, and when compared to other areas of Pakistan, child mortality in Baluchistan was extremely high. However, the main contribution of this research work is that it highlighted the priority areas for healthcare professionals. Unfortunately, the study’s fundamental flaw is that no advanced predictive analytics was employed to determine child mortality.
Kale [13] used a data mining-based approach to discover the reasons for children being hospitalized in the pediatric ward more recently. A case study was conducted in Nigist Eleni Mohammed Memorial Zonal Hospital with the help of famous data mining methods such as DT and artificial neural networks to discover the reasons behind children's admission to the pediatric ward. A data mining algorithm has been employed and DT produced a higher accuracy after training the model on records of the dataset. In addition, most of the children admitted to the hospital were due to lack of breastfeeding and not taking food properly according to DT rules. The study’s strength is that it uses data mining techniques to discover the core reasons. However, with a large dataset, both approaches, DT and artificial neural network, cannot perform well [14]. Traditional algorithms do not scale well with huge data and high-dimensional datasets. Similarly, data collected for investigation are not enough to conclude because it is limited to a single ward and one hospital and results could not be generalized. In real-life scenarios, preprocessing of data is obligatory for the implementation of data mining approaches and to avoid biases in results.
Satti et al. [15] employed machine learning methods such as logistic regression, RF, DTs, and support vector machines to analyze infant mortality in Rwanda. It is suggested that machine learning be used to target various health outcomes, such as extremely preterm survival, neonatal death, stunting, and low birth weight newborns. Studies [16,17] used a classification stacking model to categorize the four main neonatal diseases: sepsis, birth asphyxia, necrotizing enter colitis, and respiratory distress syndrome. Most neonatal deaths are caused by these diseases. The dataset was gathered between 2018 and 2021 from the Asella Comprehensive Hospital. The created stacking model was contrasted against the XGBoost (XGB), RF, and support vector machine learning models. The study aids in the early identification and precise diagnosis of neonatal diseases, particularly for healthcare facilities with limited resources.
It can be observed from the literature that multiple statistical approaches were used to identify risk factors of child mortality for intervention and to predict mortality with assumption-based algorithms. In resource-limited countries, providing decision support systems to health professionals and health facilities with insufficient resources to investigate the likelihood of child mortality is essential to minimize child mortality and achieve SDGs provided by the United Nations. Healthcare data are increasing at an implausible proportion, and developing prediction algorithms with scalability in mind is a vital strategy constraint. Therefore, the study contributes some value to the improvement of childhood health by analyzing the child mortality risk factors with the help of the feature selection method, the information gain, and the predictive analytics framework designed for the prediction of child mortality.
3 Materials and methods
Section 3.1 describes the study area and how data are collected for the development of the predictive model. Section 3.2 presents the framework for the prediction of child mortality. Section 3.3 demonstrates how data are processed and which risk factors are critical for the estimation of child mortality. Section 3.4 describes the supervised learning algorithms that are considered for model development. Section 3.5 concludes optimal model selection based on performance evaluation metrics.
3.1 Study area and design
In this study, we have used PDHS 2017–18 publicly available dataset. The demographic and health surveys are liable for gathering information on the well-being of the population from developing countries and this information can be freely downloaded from the MEASURE DHS database [6]. In Pakistan, two stages of stratified random sampling were used for the selection of households. About 580 enumeration areas (EAs) were chosen in the first stage and 561 EAs were successfully surveyed. In the next stage, the rest of the households are selected to deliver trustworthy estimates for the country. The attributes pertinent to the mortality of children under the age of five were extracted from the huge volume of the PDHS dataset. The dataset consists of 12,479 children from all over Pakistan. The critical socioeconomic and demographic risk factors influencing child mortality in Pakistan are included in Table 1.
Risk factors of child mortality in Pakistan
| Risk factors | Type | Distinct values |
|---|---|---|
| Age of mother at first birth | Numeric | 30 |
| Mother’s age | Numeric | 35 |
| Breastfeeding | Categorical | 2 |
| Father’s education | Categorical | 2 |
| Gender of the child | Categorical | 2 |
| Preceding birth interval | Numeric | 146 |
| Occupation of mother | Categorical | 2 |
| Education of mother | Categorical | 2 |
| Received family planning | Categorical | 2 |
| Residence | Categorical | 2 |
| Presence of diarrhea | Categorical | 2 |
| Child size at birth | Categorical | 3 |
| Region | Categorical | 8 |
| Wealth index | Categorical | 3 |
| Birth order number | Numeric | 15 |
| Antenatal care visits | Numeric | 20 |
| Place of delivery | Categorical | 3 |
| Child is twin | Categorical | 2 |
| Baby postnatal check-up | Categorical | 2 |
| No. of under-five children in a household | Numeric | 13 |
| Total children ever born | Numeric | 15 |
| Iron folic acid supply during pregnancy | Categorical | 2 |
| Family members | Numeric | 38 |
| Births in the last 5 years | Numeric | 5 |
3.2 Proposed framework for predicting child mortality
Following data retrieval, missing values are handled and we apply the information gain method on pre-processed data to rank the features with high information. Figure 1 illustrates the proposed framework. After implementation of the information gain method, the dataset is split into train and test sets. The objective behind splitting the dataset is that the machine learning classifier learns patterns from the training dataset and classifier performance is evaluated on the test dataset. We use various supervised machine learning classifiers for training and to evaluate the performance of classifier metrics like accuracy, precision, recall, and F1 score. Eventually, the machine learning algorithm that provides the most efficient results is selected. Ensemble learning is the best approach because it works well with different types of data in production. The efficiency of classifiers is compared and the one with the best results is adopted for the final prediction.
The proposed framework for predicting child mortality.
3.3 Preprocessing of data
Following data retrieval, data must be pre-processed by applying various data cleansing procedures. We use the predictive mean matching (PMM) algorithm in the SPSS tool to manage missing values during the pre-processing of data. After handling missing values, the next step is to identify critical risk factors from the dataset using the information gain selection technique. Information gain reveals the relative importance of a specific feature vector attribute. Later, we randomly split 70% of the dataset for training and the other 30% for testing, respectively. In pre-processing, another important task is to balance the distribution of the target variable. We applied the synthetic minority oversampling technique (SMOTE) to balance the dataset and eliminate sampling flaws because the sample sizes of the “Alive” and “Dead” subgroups were not distributed equally [9]. SMOTE produces artificial samples for the minority class by synthesizing the instances.
3.4 Model development
The practice of classifying objects into groups or categories based on a shared characteristic is known as classification. By learning from the training data, the classification approach builds a model. The model is utilized to categorize new objects. In this study, we have used DT, RF, NB, and XGB for the prediction of model development. In a classification problem, the strategy related to DT is the most constructive. The DT uses a tree-like structure and is most critical in classification problems. Using this approach, a tree is created to model the classification process. After the formation of the tree, it is applied to each record in the dataset and as a result, it suitably classifies the tuple. DT generates decision rules that help in discovering hidden patterns in a dataset.
To see which classifier works better on the selected dataset, RF is also used to categorize the labels of the classes. RF is a kind of ensemble technique in which different learning models are merged to enhance the generalization process. The perception behind ensemble lies in the fact that a pool of simple models could provide considerably better performance in comparison with a unique complex model that could be prone to over-fitting for its high variance. RF realizes an ensemble of DTs, while a tree characterizes a decisional method such that at each node a decision related to branching is taken by assessing the value of one feature against the threshold. Both the structure and the threshold of the tree are maintained during the learning process [18,19]. The RF builds several DTs, which are trained on randomly chosen subsets of training samples and the features of data, assembling their predictions to give the resultant ensemble output.
NB is one of the easiest and simplest algorithms for predicting results. It is based on the Bayes theorem, which states that one feature’s presence is completely independent of another feature’s presence. This uses a similar approach to estimate the probability of different classes based on different attributes. We applied NB because this algorithm makes it easy and efficient to foresee the class of the test dataset. It proves well in multi-class predictions [20,21]. It also responds better than other models when assuming autonomy holds, such as logistical regression, and less training data are required. Furthermore, it can also work easily with missing values [22,23,24]. NB measures the posterior likelihood using the prior likelihood and adds probability, which is new evidence.
XGB is an ensemble method and implements the gradient boosting concept but is more regularized. XGB is designed to be highly efficient, flexible, and robust enough to support the tuning of parameters and can perform classification and regression [25]. It is a boosting technique, in which weak learners are turned into good learners. There are other benefits such as parallel processing, handling missing values, tree pruning, and regularization to evade over-fitting.
3.5 Performance evaluation metrics
After the models are trained, the next step is to analyze the performance of models on an unseen dataset. To select an optimal model for the prediction of child mortality, each model is evaluated against 30% of the data, called test data. We used various metrics for the evaluation of classifiers such as precision, accuracy, recall, and F1 score [26]. Accuracy, being the most significant performance benchmark, acts as a ratio of accurately predicted observations against the total captured observations.
Precision can be termed as the ratio of accurately predicted positive values divided by the total number of positive values predicted. It is also called the positive predicted value and is a measure of the exactness of classifiers. The number of true positives divided by the aggregate number of true positives and false negatives defines recall. It is also named sensitivity or true positive rate.
4 Results and discussion
We discuss the experimental results provided by our established framework in this section. We have included 12,479 children under the age of five and selected 24 independent variables for model development. For smart data analysis, in this research, the feature selection approach, the information gain, ranked the predictors associated with under-five child mortality. Figure 2 shows information gain scores for predictors associated with child mortality.
Features ranked according to information gain.
It can be clearly observed that the feature selection method, the information gain, highlighted the same critical risk factors correlated with child mortality that we studied in the literature. Features highly correlated with label class are the number of under-five children in a household, preceding birth interval, births in the last 5 years, family members, mother’s age, age of the mother at first birth, antenatal care visits, birth order number, breastfeeding, region, total children ever born, size of child at birth, place of delivery, wealth index, and sex of child. Features ranked with less importance are the mother’s education and multiple births.
Patel et al. [3] show that healthcare professionals and the government of Pakistan are aware that birth spacing reduces child mortality. Similarly, mothers who use antenatal care facilities had a lower risk of their babies dying. The majority of investigations have discovered a strong association between breastfeeding and child mortality. According to Naz et al. [27], the children who were not breastfed had a greater risk of mortality compared to children who were breastfed. Research [9,10] conducted in developing countries also verifies our findings. According to previous studies [11,28], the under-five child mortality rate is not high in regions where prenatal and postnatal care facilities are available. Ahmed et al. [12] show that low birth weight is the leading cause of high mortality rates in Pakistan. According to our study findings, children born with a low birth weight have a higher risk of dying than the infant with normal weight at birth. Infants born at home have a higher risk of mortality before reaching the age of five than babies born in a public or private hospital, according to our findings. Naz et al. [29] depict that it is critical to have a professional health practitioner available during delivery to avoid child mortality. Another study [30] conducted in India shows that lack of adequate resources is characterized as poverty and causes high child mortality.
Later, we used 70% of the training data to create a predictive classification model. Table 2 shows that ensemble-based classifiers performed better than all other classifiers. RF is found to be the optimal algorithm with the highest accuracy (93.8%), precision (0.964), recall (0.971), and F1-score (0.967). XGBoost or XGB also performed well with accuracy (89.2%), precision (0.973), recall (0.911), and F1-score (0.941).
Evaluation of classification models
| Algorithms | Accuracy% | Precision | Recall | F1 score |
|---|---|---|---|---|
| DT | 88.8 | 0.963 | 0.917 | 0.940 |
| RF | 93.8 | 0.964 | 0.971 | 0.967 |
| NB | 74.5 | 0.953 | 0.769 | 0.851 |
| XGBoost (XGB) | 89.2 | 0.973 | 0.911 | 0.941 |
Practitioners and researchers can use this paradigm to detect and predict mortality among children under the age of five using their datasets. Hence, our predictive analytic framework can assist health professionals to educate mothers as well as take preventive measures to reduce child mortality in resource-limited settings.
5 Conclusions
In this article, we exploited information gain to identify significant features for child death and established a predictive analytic framework using machine learning algorithms for the prediction of child mortality. Machine learning algorithms like DT, RF, NB, and XGB were tested on Pakistan demographic and health survey dataset, and discovered that RF with 93.8% accuracy surpassed the other classifiers.
The features include the number of under-five children in a household, preceding birth interval, births in the last 5 years, family members, mother’s age, age of mother at first birth, antenatal care visits, birth order number, breastfeeding, region, total children ever born, size of the child at birth, place of delivery, wealth index, and sex of the child are key risk factors and are directly connected with under-five child mortality, according to a smart analysis with information gain. In Pakistan, predictive analytics could enhance child health programs and notably help in advancing smart healthcare systems to estimate mortality patterns for timely intervention.
Mothers' recall bias in the reporting of events is the main limitation of this research. It is not possible for a mother to recognize events from the past. Similarly, due to the nature of the survey cause specific mortality among children under the age of five cannot be identified. AutoML can be used in the future to improve accuracy for the estimation of child mortality and to also reduce user-computer interaction while training the model.
Acknowledgements
The authors would like to express their gratitude to all reviewers who provided constructive feedback that helped to improve the manuscript and to Madam Rabbea Irfan, Dean of Academics, TMUC, for her endless support and motivation to make this research more effective.
-
Funding information: Authors state no funding involved.
-
Author contributions: Farrukh Iqbal (Conceptualization, Methodology, Literature); Muhammad Islam Satti (Framework development, Results Validation); Azeem Irshad (performance metrics evaluation); Mohd Asif Shah (Investigation and Testing).
-
Conflict of interest: Authors state no conflict of interest.
-
Data availability statement: The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
[1] Lozano R, Fullman N, Abate D, Abay SM, Abbafati C, Abbasi N, et al. Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018 Nov 10;392(10159):2091–138.Suche in Google Scholar
[2] Bhutta ZA, Hafeez A, Rizvi A, Ali N, Khan A, Ahmad F, et al. Reproductive, maternal, newborn, and child health in Pakistan: challenges and opportunities. Lancet. 2013 Jun 22;381(9884):2207–18.10.1016/S0140-6736(12)61999-0Suche in Google Scholar PubMed
[3] Patel KK, Rai R, Rai AK. Determinants of infant mortality in Pakistan: evidence from Pakistan Demographic and Health Survey 2017–18. J Public Health. 2021 Jun;29:693–701.10.1007/s10389-019-01175-0Suche in Google Scholar
[4] Nisar YB, Dibley MJ. Determinants of neonatal mortality in Pakistan: secondary analysis of Pakistan Demographic and Health Survey 2006–07. BMC Public Health. 2014 Dec;14:1–2.10.1186/1471-2458-14-663Suche in Google Scholar PubMed PubMed Central
[5] Podda M, Bacciu D, Micheli A, Bellu R, Placidi G, Gagliardi L. A machine learning approach to estimating preterm infants survival: development of the Preterm Infants Survival Assessment (PISA) predictor. Sci Rep. 2018 Sep 13;8(1):13743.10.1038/s41598-018-31920-6Suche in Google Scholar PubMed PubMed Central
[6] Santos AB, Carvalho DR. Predictive models for infant mortality in the state of Parana. Iberoam J Appl Comput. 2017;7(2):8–22.Suche in Google Scholar
[7] Chen HY, Chuang CH, Yang YJ, Wu TP. Exploring the risk factors of preterm birth using data mining. Expert Syst Appl. 2011 May 1;38(5):5384–7.10.1016/j.eswa.2010.10.017Suche in Google Scholar
[8] Gawande R, Indulkar S, Keswani H, Khatri M, Saindane P. Analysis and prediction of child mortality in India. Int Res J Eng Technol. 2019;6(3):5071–3.Suche in Google Scholar
[9] Tesfaye B, Atique S, Elias N, Dibaba L, Shabbir SA, Kebede M. Determinants and development of a web-based child mortality prediction model in resource-limited settings: a data mining approach. Comput Methods Prog Biomed. 2017 Mar 1;140:45–51.10.1016/j.cmpb.2016.11.013Suche in Google Scholar PubMed
[10] Alemu A, Berhanu Y, Mahalkshmi M. Assessment of Breastfeeding practices in Ethiopia using different data mining techniques. J Comput Sci Eng. 2016 Mar;7(1):1–6.Suche in Google Scholar
[11] Rabbani S, Qayyum A. Comparative analysis of factor affecting child mortality in Pakistan. Res J Soc Sci. 2017 Dec 1;4(2):1–17.Suche in Google Scholar
[12] Ahmed Z, Kamal A, Kamal A. Statistical analysis of factors affecting child mortality in Pakistan. J Coll Phys Surg Pak. 2016 Jun 1;26(6):543–4.Suche in Google Scholar
[13] Kale TD. Application of data mining techniques to discover cause of underfive children admission to pediatric ward: the case of Nigist Eleni. J Health Med Informat. 2015;6(178):1–14.Suche in Google Scholar
[14] Hoodbhoy Z, Noman M, Shafique A, Nasim A, Chowdhury D, Hasan B. Use of machine learning algorithms for prediction of fetal risk using cardiotocographic data. Int J Appl Basic Med Res. 2019 Oct;9(4):226.10.4103/ijabmr.IJABMR_370_18Suche in Google Scholar PubMed PubMed Central
[15] Satti MI, Usman M, Mahmood A, Abbasi AA, Song OY. Predictive analytics framework for accurate estimation of child mortality rates for Internet of Things enabled smart healthcare systems. Int J Distrib Sens Netw. 2020 May;16(5):1550147720928897.10.1177/1550147720928897Suche in Google Scholar
[16] Mfateneza E, Rutayisire PC, Biracyaza E, Musafiri S, Mpabuka WG. Application of machine learning methods for predicting infant mortality in Rwanda: analysis of Rwanda demographic health survey 2014–15 dataset. BMC Pregnancy Childbirth. 2022 May 4;22(1):388.10.1186/s12884-022-04699-8Suche in Google Scholar PubMed PubMed Central
[17] Robi YG, Sitote TM. Neonatal disease prediction using machine learning techniques. J Healthc Eng. 2023 Feb 23;2023:1–16.10.1155/2023/3567194Suche in Google Scholar PubMed PubMed Central
[18] Mihrete TS, Alemie GA, Teferra AS. Determinants of childhood diarrhea among underfive children in Benishangul Gumuz regional state, North West Ethiopia. BMC Pediatrics. 2014 Dec;14:1–9.10.1186/1471-2431-14-102Suche in Google Scholar PubMed PubMed Central
[19] Nanga S, Lotsi A. A comaprison between logistic regression and k nearest neighbor in modeling mortality amongst children under five years in Ghana. Dama Int J Res. 2016;1(6):60–7.Suche in Google Scholar
[20] Satti MI, Ahmed J, Muslim HS, Gardezi AA, Ahmad S, Sayed AE, et al. Ontology-based news linking for semantic temporal queries. Comput Mater Contin. 2023;74(2):3913–29.10.32604/cmc.2023.033001Suche in Google Scholar
[21] Ayele DG, Zewotir TT. Comparison of under-five mortality for 2000, 2005 and 2011 surveys in Ethiopia. BMC Public Health. 2016 Dec;16(1):1–10.10.1186/s12889-016-3601-0Suche in Google Scholar PubMed PubMed Central
[22] Gebretsadik S, Gabreyohannes E. Determinants of under-five mortality in high mortality regions of Ethiopia: an analysis of the 2011 ethiopia demographic and health survey data. Int J Popul Res. 2016;2016:1–7.10.1155/2016/1602761Suche in Google Scholar
[23] Antai D. Regional inequalities in under-5 mortality in Nigeria: a population-based analysis of individual-and community-level determinants. Popul Health Metr. 2011 Dec;9:1–10.10.1186/1478-7954-9-6Suche in Google Scholar PubMed PubMed Central
[24] Abir T, Ogbo FA, Stevens GJ, Page AN, Milton AH, Agho KE. The impact of antenatal care, iron–folic acid supplementation and tetanus toxoid vaccination during pregnancy on child mortality in Bangladesh. PLoS One. 2017 Nov 1;12(11):e0187090.10.1371/journal.pone.0187090Suche in Google Scholar PubMed PubMed Central
[25] Nadeem A, Naveed M, Satti MI, Afzal H, Ahmad T, Kim KI. Depression detection based on hybrid deep learning SSCL framework using self-attention mechanism: An application to social networking data. Sensors. 2022 Dec 13;22(24):9775.10.3390/s22249775Suche in Google Scholar PubMed PubMed Central
[26] Coulibaly A, Baguiya A, Millogo T, Meda IB, Koueta F, Kouanda S. Predictors of mortality of low birth weight newborns during the neonatal period: A cohort study in two health districts of Burkina Faso. Int J Gynecol Obstet. 2016 Nov 1;135:S89–92.10.1016/j.ijgo.2016.08.006Suche in Google Scholar PubMed
[27] Naz S, Page A, Agho KE. Household air pollution and under-five mortality in Bangladesh (2004–2011). Int J Environ Res Public Health. 2015 Oct;12(10):12847–62.10.3390/ijerph121012847Suche in Google Scholar PubMed PubMed Central
[28] Helova A, Hearld KR, Budhwani H. Associates of neonatal, infant and child mortality in the Islamic Republic of Pakistan: a multilevel analysis using the 2012–2013 demographic and health surveys. Matern Child Health J. 2017 Feb;21:367–75.10.1007/s10995-016-2121-ySuche in Google Scholar PubMed
[29] Naz S, Page A, Agho KE. Household air pollution from use of cooking fuel and under-five mortality: The role of breastfeeding status and kitchen location in Pakistan. PLoS One. 2017 Mar 9;12(3):e0173256.10.1371/journal.pone.0173256Suche in Google Scholar PubMed PubMed Central
[30] Khare S, Mishra A, Utkarsh, Mishra RN, Singh NA. Predictors of neonatal and infant deaths in India. Int J Health Sci Res. 2019 Jun;9(6):9–15.Suche in Google Scholar
© 2023 the author(s), published by De Gruyter
This work is licensed under the Creative Commons Attribution 4.0 International License.
Artikel in diesem Heft
- Biomedical Sciences
- Systemic investigation of inetetamab in combination with small molecules to treat HER2-overexpressing breast and gastric cancers
- Immunosuppressive treatment for idiopathic membranous nephropathy: An updated network meta-analysis
- Identifying two pathogenic variants in a patient with pigmented paravenous retinochoroidal atrophy
- Effects of phytoestrogens combined with cold stress on sperm parameters and testicular proteomics in rats
- A case of pulmonary embolism with bad warfarin anticoagulant effects caused by E. coli infection
- Neutrophilia with subclinical Cushing’s disease: A case report and literature review
- Isoimperatorin alleviates lipopolysaccharide-induced periodontitis by downregulating ERK1/2 and NF-κB pathways
- Immunoregulation of synovial macrophages for the treatment of osteoarthritis
- Novel CPLANE1 c.8948dupT (p.P2984Tfs*7) variant in a child patient with Joubert syndrome
- Antiphospholipid antibodies and the risk of thrombosis in myeloproliferative neoplasms
- Immunological responses of septic rats to combination therapy with thymosin α1 and vitamin C
- High glucose and high lipid induced mitochondrial dysfunction in JEG-3 cells through oxidative stress
- Pharmacological inhibition of the ubiquitin-specific protease 8 effectively suppresses glioblastoma cell growth
- Levocarnitine regulates the growth of angiotensin II-induced myocardial fibrosis cells via TIMP-1
- Age-related changes in peripheral T-cell subpopulations in elderly individuals: An observational study
- Single-cell transcription analysis reveals the tumor origin and heterogeneity of human bilateral renal clear cell carcinoma
- Identification of iron metabolism-related genes as diagnostic signatures in sepsis by blood transcriptomic analysis
- Long noncoding RNA ACART knockdown decreases 3T3-L1 preadipocyte proliferation and differentiation
- Surgery, adjuvant immunotherapy plus chemotherapy and radiotherapy for primary malignant melanoma of the parotid gland (PGMM): A case report
- Dosimetry comparison with helical tomotherapy, volumetric modulated arc therapy, and intensity-modulated radiotherapy for grade II gliomas: A single‑institution case series
- Soy isoflavone reduces LPS-induced acute lung injury via increasing aquaporin 1 and aquaporin 5 in rats
- Refractory hypokalemia with sexual dysplasia and infertility caused by 17α-hydroxylase deficiency and triple X syndrome: A case report
- Meta-analysis of cancer risk among end stage renal disease undergoing maintenance dialysis
- 6-Phosphogluconate dehydrogenase inhibition arrests growth and induces apoptosis in gastric cancer via AMPK activation and oxidative stress
- Experimental study on the optimization of ANM33 release in foam cells
- Primary retroperitoneal angiosarcoma: A case report
- Metabolomic analysis-identified 2-hydroxybutyric acid might be a key metabolite of severe preeclampsia
- Malignant pleural effusion diagnosis and therapy
- Effect of spaceflight on the phenotype and proteome of Escherichia coli
- Comparison of immunotherapy combined with stereotactic radiotherapy and targeted therapy for patients with brain metastases: A systemic review and meta-analysis
- Activation of hypermethylated P2RY1 mitigates gastric cancer by promoting apoptosis and inhibiting proliferation
- Association between the VEGFR-2 -604T/C polymorphism (rs2071559) and type 2 diabetic retinopathy
- The role of IL-31 and IL-34 in the diagnosis and treatment of chronic periodontitis
- Triple-negative mouse breast cancer initiating cells show high expression of beta1 integrin and increased malignant features
- mNGS facilitates the accurate diagnosis and antibiotic treatment of suspicious critical CNS infection in real practice: A retrospective study
- The apatinib and pemetrexed combination has antitumor and antiangiogenic effects against NSCLC
- Radiotherapy for primary thyroid adenoid cystic carcinoma
- Design and functional preliminary investigation of recombinant antigen EgG1Y162–EgG1Y162 against Echinococcus granulosus
- Effects of losartan in patients with NAFLD: A meta-analysis of randomized controlled trial
- Bibliometric analysis of METTL3: Current perspectives, highlights, and trending topics
- Performance comparison of three scaling algorithms in NMR-based metabolomics analysis
- PI3K/AKT/mTOR pathway and its related molecules participate in PROK1 silence-induced anti-tumor effects on pancreatic cancer
- The altered expression of cytoskeletal and synaptic remodeling proteins during epilepsy
- Effects of pegylated recombinant human granulocyte colony-stimulating factor on lymphocytes and white blood cells of patients with malignant tumor
- Prostatitis as initial manifestation of Chlamydia psittaci pneumonia diagnosed by metagenome next-generation sequencing: A case report
- NUDT21 relieves sevoflurane-induced neurological damage in rats by down-regulating LIMK2
- Association of interleukin-10 rs1800896, rs1800872, and interleukin-6 rs1800795 polymorphisms with squamous cell carcinoma risk: A meta-analysis
- Exosomal HBV-DNA for diagnosis and treatment monitoring of chronic hepatitis B
- Shear stress leads to the dysfunction of endothelial cells through the Cav-1-mediated KLF2/eNOS/ERK signaling pathway under physiological conditions
- Interaction between the PI3K/AKT pathway and mitochondrial autophagy in macrophages and the leukocyte count in rats with LPS-induced pulmonary infection
- Meta-analysis of the rs231775 locus polymorphism in the CTLA-4 gene and the susceptibility to Graves’ disease in children
- Cloning, subcellular localization and expression of phosphate transporter gene HvPT6 of hulless barley
- Coptisine mitigates diabetic nephropathy via repressing the NRLP3 inflammasome
- Significant elevated CXCL14 and decreased IL-39 levels in patients with tuberculosis
- Whole-exome sequencing applications in prenatal diagnosis of fetal bowel dilatation
- Gemella morbillorum infective endocarditis: A case report and literature review
- An unusual ectopic thymoma clonal evolution analysis: A case report
- Severe cumulative skin toxicity during toripalimab combined with vemurafenib following toripalimab alone
- Detection of V. vulnificus septic shock with ARDS using mNGS
- Novel rare genetic variants of familial and sporadic pulmonary atresia identified by whole-exome sequencing
- The influence and mechanistic action of sperm DNA fragmentation index on the outcomes of assisted reproduction technology
- Novel compound heterozygous mutations in TELO2 in an infant with You-Hoover-Fong syndrome: A case report and literature review
- ctDNA as a prognostic biomarker in resectable CLM: Systematic review and meta-analysis
- Diagnosis of primary amoebic meningoencephalitis by metagenomic next-generation sequencing: A case report
- Phylogenetic analysis of promoter regions of human Dolichol kinase (DOLK) and orthologous genes using bioinformatics tools
- Collagen changes in rabbit conjunctiva after conjunctival crosslinking
- Effects of NM23 transfection of human gastric carcinoma cells in mice
- Oral nifedipine and phytosterol, intravenous nicardipine, and oral nifedipine only: Three-arm, retrospective, cohort study for management of severe preeclampsia
- Case report of hepatic retiform hemangioendothelioma: A rare tumor treated with ultrasound-guided microwave ablation
- Curcumin induces apoptosis in human hepatocellular carcinoma cells by decreasing the expression of STAT3/VEGF/HIF-1α signaling
- Rare presentation of double-clonal Waldenström macroglobulinemia with pulmonary embolism: A case report
- Giant duplication of the transverse colon in an adult: A case report and literature review
- Ectopic thyroid tissue in the breast: A case report
- SDR16C5 promotes proliferation and migration and inhibits apoptosis in pancreatic cancer
- Vaginal metastasis from breast cancer: A case report
- Screening of the best time window for MSC transplantation to treat acute myocardial infarction with SDF-1α antibody-loaded targeted ultrasonic microbubbles: An in vivo study in miniswine
- Inhibition of TAZ impairs the migration ability of melanoma cells
- Molecular complexity analysis of the diagnosis of Gitelman syndrome in China
- Effects of maternal calcium and protein intake on the development and bone metabolism of offspring mice
- Identification of winter wheat pests and diseases based on improved convolutional neural network
- Ultra-multiplex PCR technique to guide treatment of Aspergillus-infected aortic valve prostheses
- Virtual high-throughput screening: Potential inhibitors targeting aminopeptidase N (CD13) and PIKfyve for SARS-CoV-2
- Immune checkpoint inhibitors in cancer patients with COVID-19
- Utility of methylene blue mixed with autologous blood in preoperative localization of pulmonary nodules and masses
- Integrated analysis of the microbiome and transcriptome in stomach adenocarcinoma
- Berberine suppressed sarcopenia insulin resistance through SIRT1-mediated mitophagy
- DUSP2 inhibits the progression of lupus nephritis in mice by regulating the STAT3 pathway
- Lung abscess by Fusobacterium nucleatum and Streptococcus spp. co-infection by mNGS: A case series
- Genetic alterations of KRAS and TP53 in intrahepatic cholangiocarcinoma associated with poor prognosis
- Granulomatous polyangiitis involving the fourth ventricle: Report of a rare case and a literature review
- Studying infant mortality: A demographic analysis based on data mining models
- Metaplastic breast carcinoma with osseous differentiation: A report of a rare case and literature review
- Protein Z modulates the metastasis of lung adenocarcinoma cells
- Inhibition of pyroptosis and apoptosis by capsaicin protects against LPS-induced acute kidney injury through TRPV1/UCP2 axis in vitro
- TAK-242, a toll-like receptor 4 antagonist, against brain injury by alleviates autophagy and inflammation in rats
- Primary mediastinum Ewing’s sarcoma with pleural effusion: A case report and literature review
- Association of ADRB2 gene polymorphisms and intestinal microbiota in Chinese Han adolescents
- Tanshinone IIA alleviates chondrocyte apoptosis and extracellular matrix degeneration by inhibiting ferroptosis
- Study on the cytokines related to SARS-Cov-2 in testicular cells and the interaction network between cells based on scRNA-seq data
- Effect of periostin on bone metabolic and autophagy factors during tooth eruption in mice
- HP1 induces ferroptosis of renal tubular epithelial cells through NRF2 pathway in diabetic nephropathy
- Intravaginal estrogen management in postmenopausal patients with vaginal squamous intraepithelial lesions along with CO2 laser ablation: A retrospective study
- Hepatocellular carcinoma cell differentiation trajectory predicts immunotherapy, potential therapeutic drugs, and prognosis of patients
- Effects of physical exercise on biomarkers of oxidative stress in healthy subjects: A meta-analysis of randomized controlled trials
- Identification of lysosome-related genes in connection with prognosis and immune cell infiltration for drug candidates in head and neck cancer
- Development of an instrument-free and low-cost ELISA dot-blot test to detect antibodies against SARS-CoV-2
- Research progress on gas signal molecular therapy for Parkinson’s disease
- Adiponectin inhibits TGF-β1-induced skin fibroblast proliferation and phenotype transformation via the p38 MAPK signaling pathway
- The G protein-coupled receptor-related gene signatures for predicting prognosis and immunotherapy response in bladder urothelial carcinoma
- α-Fetoprotein contributes to the malignant biological properties of AFP-producing gastric cancer
- CXCL12/CXCR4/CXCR7 axis in placenta tissues of patients with placenta previa
- Association between thyroid stimulating hormone levels and papillary thyroid cancer risk: A meta-analysis
- Significance of sTREM-1 and sST2 combined diagnosis for sepsis detection and prognosis prediction
- Diagnostic value of serum neuroactive substances in the acute exacerbation of chronic obstructive pulmonary disease complicated with depression
- Research progress of AMP-activated protein kinase and cardiac aging
- TRIM29 knockdown prevented the colon cancer progression through decreasing the ubiquitination levels of KRT5
- Cross-talk between gut microbiota and liver steatosis: Complications and therapeutic target
- Metastasis from small cell lung cancer to ovary: A case report
- The early diagnosis and pathogenic mechanisms of sepsis-related acute kidney injury
- The effect of NK cell therapy on sepsis secondary to lung cancer: A case report
- Erianin alleviates collagen-induced arthritis in mice by inhibiting Th17 cell differentiation
- Loss of ACOX1 in clear cell renal cell carcinoma and its correlation with clinical features
- Signalling pathways in the osteogenic differentiation of periodontal ligament stem cells
- Crosstalk between lactic acid and immune regulation and its value in the diagnosis and treatment of liver failure
- Clinicopathological features and differential diagnosis of gastric pleomorphic giant cell carcinoma
- Traumatic brain injury and rTMS-ERPs: Case report and literature review
- Extracellular fibrin promotes non-small cell lung cancer progression through integrin β1/PTEN/AKT signaling
- Knockdown of DLK4 inhibits non-small cell lung cancer tumor growth by downregulating CKS2
- The co-expression pattern of VEGFR-2 with indicators related to proliferation, apoptosis, and differentiation of anagen hair follicles
- Inflammation-related signaling pathways in tendinopathy
- CD4+ T cell count in HIV/TB co-infection and co-occurrence with HL: Case report and literature review
- Clinical analysis of severe Chlamydia psittaci pneumonia: Case series study
- Bioinformatics analysis to identify potential biomarkers for the pulmonary artery hypertension associated with the basement membrane
- Influence of MTHFR polymorphism, alone or in combination with smoking and alcohol consumption, on cancer susceptibility
- Catharanthus roseus (L.) G. Don counteracts the ampicillin resistance in multiple antibiotic-resistant Staphylococcus aureus by downregulation of PBP2a synthesis
- Combination of a bronchogenic cyst in the thoracic spinal canal with chronic myelocytic leukemia
- Bacterial lipoprotein plays an important role in the macrophage autophagy and apoptosis induced by Salmonella typhimurium and Staphylococcus aureus
- TCL1A+ B cells predict prognosis in triple-negative breast cancer through integrative analysis of single-cell and bulk transcriptomic data
- Ezrin promotes esophageal squamous cell carcinoma progression via the Hippo signaling pathway
- Ferroptosis: A potential target of macrophages in plaque vulnerability
- Predicting pediatric Crohn's disease based on six mRNA-constructed risk signature using comprehensive bioinformatic approaches
- Applications of genetic code expansion and photosensitive UAAs in studying membrane proteins
- HK2 contributes to the proliferation, migration, and invasion of diffuse large B-cell lymphoma cells by enhancing the ERK1/2 signaling pathway
- IL-17 in osteoarthritis: A narrative review
- Circadian cycle and neuroinflammation
- Probiotic management and inflammatory factors as a novel treatment in cirrhosis: A systematic review and meta-analysis
- Hemorrhagic meningioma with pulmonary metastasis: Case report and literature review
- SPOP regulates the expression profiles and alternative splicing events in human hepatocytes
- Knockdown of SETD5 inhibited glycolysis and tumor growth in gastric cancer cells by down-regulating Akt signaling pathway
- PTX3 promotes IVIG resistance-induced endothelial injury in Kawasaki disease by regulating the NF-κB pathway
- Pancreatic ectopic thyroid tissue: A case report and analysis of literature
- The prognostic impact of body mass index on female breast cancer patients in underdeveloped regions of northern China differs by menopause status and tumor molecular subtype
- Report on a case of liver-originating malignant melanoma of unknown primary
- Case report: Herbal treatment of neutropenic enterocolitis after chemotherapy for breast cancer
- The fibroblast growth factor–Klotho axis at molecular level
- Characterization of amiodarone action on currents in hERG-T618 gain-of-function mutations
- A case report of diagnosis and dynamic monitoring of Listeria monocytogenes meningitis with NGS
- Effect of autologous platelet-rich plasma on new bone formation and viability of a Marburg bone graft
- Small breast epithelial mucin as a useful prognostic marker for breast cancer patients
- Continuous non-adherent culture promotes transdifferentiation of human adipose-derived stem cells into retinal lineage
- Nrf3 alleviates oxidative stress and promotes the survival of colon cancer cells by activating AKT/BCL-2 signal pathway
- Favorable response to surufatinib in a patient with necrolytic migratory erythema: A case report
- Case report of atypical undernutrition of hypoproteinemia type
- Down-regulation of COL1A1 inhibits tumor-associated fibroblast activation and mediates matrix remodeling in the tumor microenvironment of breast cancer
- Sarcoma protein kinase inhibition alleviates liver fibrosis by promoting hepatic stellate cells ferroptosis
- Research progress of serum eosinophil in chronic obstructive pulmonary disease and asthma
- Clinicopathological characteristics of co-existing or mixed colorectal cancer and neuroendocrine tumor: Report of five cases
- Role of menopausal hormone therapy in the prevention of postmenopausal osteoporosis
- Precisional detection of lymph node metastasis using tFCM in colorectal cancer
- Advances in diagnosis and treatment of perimenopausal syndrome
- A study of forensic genetics: ITO index distribution and kinship judgment between two individuals
- Acute lupus pneumonitis resembling miliary tuberculosis: A case-based review
- Plasma levels of CD36 and glutathione as biomarkers for ruptured intracranial aneurysm
- Fractalkine modulates pulmonary angiogenesis and tube formation by modulating CX3CR1 and growth factors in PVECs
- Novel risk prediction models for deep vein thrombosis after thoracotomy and thoracoscopic lung cancer resections, involving coagulation and immune function
- Exploring the diagnostic markers of essential tremor: A study based on machine learning algorithms
- Evaluation of effects of small-incision approach treatment on proximal tibia fracture by deep learning algorithm-based magnetic resonance imaging
- An online diagnosis method for cancer lesions based on intelligent imaging analysis
- Medical imaging in rheumatoid arthritis: A review on deep learning approach
- Predictive analytics in smart healthcare for child mortality prediction using a machine learning approach
- Utility of neutrophil–lymphocyte ratio and platelet–lymphocyte ratio in predicting acute-on-chronic liver failure survival
- A biomedical decision support system for meta-analysis of bilateral upper-limb training in stroke patients with hemiplegia
- TNF-α and IL-8 levels are positively correlated with hypobaric hypoxic pulmonary hypertension and pulmonary vascular remodeling in rats
- Stochastic gradient descent optimisation for convolutional neural network for medical image segmentation
- Comparison of the prognostic value of four different critical illness scores in patients with sepsis-induced coagulopathy
- Application and teaching of computer molecular simulation embedded technology and artificial intelligence in drug research and development
- Hepatobiliary surgery based on intelligent image segmentation technology
- Value of brain injury-related indicators based on neural network in the diagnosis of neonatal hypoxic-ischemic encephalopathy
- Analysis of early diagnosis methods for asymmetric dementia in brain MR images based on genetic medical technology
- Early diagnosis for the onset of peri-implantitis based on artificial neural network
- Clinical significance of the detection of serum IgG4 and IgG4/IgG ratio in patients with thyroid-associated ophthalmopathy
- Forecast of pain degree of lumbar disc herniation based on back propagation neural network
- SPA-UNet: A liver tumor segmentation network based on fused multi-scale features
- Systematic evaluation of clinical efficacy of CYP1B1 gene polymorphism in EGFR mutant non-small cell lung cancer observed by medical image
- Rehabilitation effect of intelligent rehabilitation training system on hemiplegic limb spasms after stroke
- A novel approach for minimising anti-aliasing effects in EEG data acquisition
- ErbB4 promotes M2 activation of macrophages in idiopathic pulmonary fibrosis
- Clinical role of CYP1B1 gene polymorphism in prediction of postoperative chemotherapy efficacy in NSCLC based on individualized health model
- Lung nodule segmentation via semi-residual multi-resolution neural networks
- Evaluation of brain nerve function in ICU patients with Delirium by deep learning algorithm-based resting state MRI
- A data mining technique for detecting malignant mesothelioma cancer using multiple regression analysis
- Markov model combined with MR diffusion tensor imaging for predicting the onset of Alzheimer’s disease
- Effectiveness of the treatment of depression associated with cancer and neuroimaging changes in depression-related brain regions in patients treated with the mediator-deuterium acupuncture method
- Molecular mechanism of colorectal cancer and screening of molecular markers based on bioinformatics analysis
- Monitoring and evaluation of anesthesia depth status data based on neuroscience
- Exploring the conformational dynamics and thermodynamics of EGFR S768I and G719X + S768I mutations in non-small cell lung cancer: An in silico approaches
- Optimised feature selection-driven convolutional neural network using gray level co-occurrence matrix for detection of cervical cancer
- Incidence of different pressure patterns of spinal cerebellar ataxia and analysis of imaging and genetic diagnosis
- Pathogenic bacteria and treatment resistance in older cardiovascular disease patients with lung infection and risk prediction model
- Adoption value of support vector machine algorithm-based computed tomography imaging in the diagnosis of secondary pulmonary fungal infections in patients with malignant hematological disorders
- From slides to insights: Harnessing deep learning for prognostic survival prediction in human colorectal cancer histology
- Ecology and Environmental Science
- Monitoring of hourly carbon dioxide concentration under different land use types in arid ecosystem
- Comparing the differences of prokaryotic microbial community between pit walls and bottom from Chinese liquor revealed by 16S rRNA gene sequencing
- Effects of cadmium stress on fruits germination and growth of two herbage species
- Bamboo charcoal affects soil properties and bacterial community in tea plantations
- Optimization of biogas potential using kinetic models, response surface methodology, and instrumental evidence for biodegradation of tannery fleshings during anaerobic digestion
- Understory vegetation diversity patterns of Platycladus orientalis and Pinus elliottii communities in Central and Southern China
- Studies on macrofungi diversity and discovery of new species of Abortiporus from Baotianman World Biosphere Reserve
- Food Science
- Effect of berrycactus fruit (Myrtillocactus geometrizans) on glutamate, glutamine, and GABA levels in the frontal cortex of rats fed with a high-fat diet
- Guesstimate of thymoquinone diversity in Nigella sativa L. genotypes and elite varieties collected from Indian states using HPTLC technique
- Analysis of bacterial community structure of Fuzhuan tea with different processing techniques
- Untargeted metabolomics reveals sour jujube kernel benefiting the nutritional value and flavor of Morchella esculenta
- Mycobiota in Slovak wine grapes: A case study from the small Carpathians wine region
- Elemental analysis of Fadogia ancylantha leaves used as a nutraceutical in Mashonaland West Province, Zimbabwe
- Microbiological transglutaminase: Biotechnological application in the food industry
- Influence of solvent-free extraction of fish oil from catfish (Clarias magur) heads using a Taguchi orthogonal array design: A qualitative and quantitative approach
- Chromatographic analysis of the chemical composition and anticancer activities of Curcuma longa extract cultivated in Palestine
- The potential for the use of leghemoglobin and plant ferritin as sources of iron
- Investigating the association between dietary patterns and glycemic control among children and adolescents with T1DM
- Bioengineering and Biotechnology
- Biocompatibility and osteointegration capability of β-TCP manufactured by stereolithography 3D printing: In vitro study
- Clinical characteristics and the prognosis of diabetic foot in Tibet: A single center, retrospective study
- Agriculture
- Biofertilizer and NPSB fertilizer application effects on nodulation and productivity of common bean (Phaseolus vulgaris L.) at Sodo Zuria, Southern Ethiopia
- On correlation between canopy vegetation and growth indexes of maize varieties with different nitrogen efficiencies
- Exopolysaccharides from Pseudomonas tolaasii inhibit the growth of Pleurotus ostreatus mycelia
- A transcriptomic evaluation of the mechanism of programmed cell death of the replaceable bud in Chinese chestnut
- Melatonin enhances salt tolerance in sorghum by modulating photosynthetic performance, osmoregulation, antioxidant defense, and ion homeostasis
- Effects of plant density on alfalfa (Medicago sativa L.) seed yield in western Heilongjiang areas
- Identification of rice leaf diseases and deficiency disorders using a novel DeepBatch technique
- Artificial intelligence and internet of things oriented sustainable precision farming: Towards modern agriculture
- Animal Sciences
- Effect of ketogenic diet on exercise tolerance and transcriptome of gastrocnemius in mice
- Combined analysis of mRNA–miRNA from testis tissue in Tibetan sheep with different FecB genotypes
- Isolation, identification, and drug resistance of a partially isolated bacterium from the gill of Siniperca chuatsi
- Tracking behavioral changes of confined sows from the first mating to the third parity
- The sequencing of the key genes and end products in the TLR4 signaling pathway from the kidney of Rana dybowskii exposed to Aeromonas hydrophila
- Development of a new candidate vaccine against piglet diarrhea caused by Escherichia coli
- Plant Sciences
- Crown and diameter structure of pure Pinus massoniana Lamb. forest in Hunan province, China
- Genetic evaluation and germplasm identification analysis on ITS2, trnL-F, and psbA-trnH of alfalfa varieties germplasm resources
- Tissue culture and rapid propagation technology for Gentiana rhodantha
- Effects of cadmium on the synthesis of active ingredients in Salvia miltiorrhiza
- Cloning and expression analysis of VrNAC13 gene in mung bean
- Chlorate-induced molecular floral transition revealed by transcriptomes
- Effects of warming and drought on growth and development of soybean in Hailun region
- Effects of different light conditions on transient expression and biomass in Nicotiana benthamiana leaves
- Comparative analysis of the rhizosphere microbiome and medicinally active ingredients of Atractylodes lancea from different geographical origins
- Distinguish Dianthus species or varieties based on chloroplast genomes
- Comparative transcriptomes reveal molecular mechanisms of apple blossoms of different tolerance genotypes to chilling injury
- Study on fresh processing key technology and quality influence of Cut Ophiopogonis Radix based on multi-index evaluation
- An advanced approach for fig leaf disease detection and classification: Leveraging image processing and enhanced support vector machine methodology
- Erratum
- Erratum to “Protein Z modulates the metastasis of lung adenocarcinoma cells”
- Erratum to “BRCA1 subcellular localization regulated by PI3K signaling pathway in triple-negative breast cancer MDA-MB-231 cells and hormone-sensitive T47D cells”
- Retraction
- Retraction to “Protocatechuic acid attenuates cerebral aneurysm formation and progression by inhibiting TNF-alpha/Nrf-2/NF-kB-mediated inflammatory mechanisms in experimental rats”
Artikel in diesem Heft
- Biomedical Sciences
- Systemic investigation of inetetamab in combination with small molecules to treat HER2-overexpressing breast and gastric cancers
- Immunosuppressive treatment for idiopathic membranous nephropathy: An updated network meta-analysis
- Identifying two pathogenic variants in a patient with pigmented paravenous retinochoroidal atrophy
- Effects of phytoestrogens combined with cold stress on sperm parameters and testicular proteomics in rats
- A case of pulmonary embolism with bad warfarin anticoagulant effects caused by E. coli infection
- Neutrophilia with subclinical Cushing’s disease: A case report and literature review
- Isoimperatorin alleviates lipopolysaccharide-induced periodontitis by downregulating ERK1/2 and NF-κB pathways
- Immunoregulation of synovial macrophages for the treatment of osteoarthritis
- Novel CPLANE1 c.8948dupT (p.P2984Tfs*7) variant in a child patient with Joubert syndrome
- Antiphospholipid antibodies and the risk of thrombosis in myeloproliferative neoplasms
- Immunological responses of septic rats to combination therapy with thymosin α1 and vitamin C
- High glucose and high lipid induced mitochondrial dysfunction in JEG-3 cells through oxidative stress
- Pharmacological inhibition of the ubiquitin-specific protease 8 effectively suppresses glioblastoma cell growth
- Levocarnitine regulates the growth of angiotensin II-induced myocardial fibrosis cells via TIMP-1
- Age-related changes in peripheral T-cell subpopulations in elderly individuals: An observational study
- Single-cell transcription analysis reveals the tumor origin and heterogeneity of human bilateral renal clear cell carcinoma
- Identification of iron metabolism-related genes as diagnostic signatures in sepsis by blood transcriptomic analysis
- Long noncoding RNA ACART knockdown decreases 3T3-L1 preadipocyte proliferation and differentiation
- Surgery, adjuvant immunotherapy plus chemotherapy and radiotherapy for primary malignant melanoma of the parotid gland (PGMM): A case report
- Dosimetry comparison with helical tomotherapy, volumetric modulated arc therapy, and intensity-modulated radiotherapy for grade II gliomas: A single‑institution case series
- Soy isoflavone reduces LPS-induced acute lung injury via increasing aquaporin 1 and aquaporin 5 in rats
- Refractory hypokalemia with sexual dysplasia and infertility caused by 17α-hydroxylase deficiency and triple X syndrome: A case report
- Meta-analysis of cancer risk among end stage renal disease undergoing maintenance dialysis
- 6-Phosphogluconate dehydrogenase inhibition arrests growth and induces apoptosis in gastric cancer via AMPK activation and oxidative stress
- Experimental study on the optimization of ANM33 release in foam cells
- Primary retroperitoneal angiosarcoma: A case report
- Metabolomic analysis-identified 2-hydroxybutyric acid might be a key metabolite of severe preeclampsia
- Malignant pleural effusion diagnosis and therapy
- Effect of spaceflight on the phenotype and proteome of Escherichia coli
- Comparison of immunotherapy combined with stereotactic radiotherapy and targeted therapy for patients with brain metastases: A systemic review and meta-analysis
- Activation of hypermethylated P2RY1 mitigates gastric cancer by promoting apoptosis and inhibiting proliferation
- Association between the VEGFR-2 -604T/C polymorphism (rs2071559) and type 2 diabetic retinopathy
- The role of IL-31 and IL-34 in the diagnosis and treatment of chronic periodontitis
- Triple-negative mouse breast cancer initiating cells show high expression of beta1 integrin and increased malignant features
- mNGS facilitates the accurate diagnosis and antibiotic treatment of suspicious critical CNS infection in real practice: A retrospective study
- The apatinib and pemetrexed combination has antitumor and antiangiogenic effects against NSCLC
- Radiotherapy for primary thyroid adenoid cystic carcinoma
- Design and functional preliminary investigation of recombinant antigen EgG1Y162–EgG1Y162 against Echinococcus granulosus
- Effects of losartan in patients with NAFLD: A meta-analysis of randomized controlled trial
- Bibliometric analysis of METTL3: Current perspectives, highlights, and trending topics
- Performance comparison of three scaling algorithms in NMR-based metabolomics analysis
- PI3K/AKT/mTOR pathway and its related molecules participate in PROK1 silence-induced anti-tumor effects on pancreatic cancer
- The altered expression of cytoskeletal and synaptic remodeling proteins during epilepsy
- Effects of pegylated recombinant human granulocyte colony-stimulating factor on lymphocytes and white blood cells of patients with malignant tumor
- Prostatitis as initial manifestation of Chlamydia psittaci pneumonia diagnosed by metagenome next-generation sequencing: A case report
- NUDT21 relieves sevoflurane-induced neurological damage in rats by down-regulating LIMK2
- Association of interleukin-10 rs1800896, rs1800872, and interleukin-6 rs1800795 polymorphisms with squamous cell carcinoma risk: A meta-analysis
- Exosomal HBV-DNA for diagnosis and treatment monitoring of chronic hepatitis B
- Shear stress leads to the dysfunction of endothelial cells through the Cav-1-mediated KLF2/eNOS/ERK signaling pathway under physiological conditions
- Interaction between the PI3K/AKT pathway and mitochondrial autophagy in macrophages and the leukocyte count in rats with LPS-induced pulmonary infection
- Meta-analysis of the rs231775 locus polymorphism in the CTLA-4 gene and the susceptibility to Graves’ disease in children
- Cloning, subcellular localization and expression of phosphate transporter gene HvPT6 of hulless barley
- Coptisine mitigates diabetic nephropathy via repressing the NRLP3 inflammasome
- Significant elevated CXCL14 and decreased IL-39 levels in patients with tuberculosis
- Whole-exome sequencing applications in prenatal diagnosis of fetal bowel dilatation
- Gemella morbillorum infective endocarditis: A case report and literature review
- An unusual ectopic thymoma clonal evolution analysis: A case report
- Severe cumulative skin toxicity during toripalimab combined with vemurafenib following toripalimab alone
- Detection of V. vulnificus septic shock with ARDS using mNGS
- Novel rare genetic variants of familial and sporadic pulmonary atresia identified by whole-exome sequencing
- The influence and mechanistic action of sperm DNA fragmentation index on the outcomes of assisted reproduction technology
- Novel compound heterozygous mutations in TELO2 in an infant with You-Hoover-Fong syndrome: A case report and literature review
- ctDNA as a prognostic biomarker in resectable CLM: Systematic review and meta-analysis
- Diagnosis of primary amoebic meningoencephalitis by metagenomic next-generation sequencing: A case report
- Phylogenetic analysis of promoter regions of human Dolichol kinase (DOLK) and orthologous genes using bioinformatics tools
- Collagen changes in rabbit conjunctiva after conjunctival crosslinking
- Effects of NM23 transfection of human gastric carcinoma cells in mice
- Oral nifedipine and phytosterol, intravenous nicardipine, and oral nifedipine only: Three-arm, retrospective, cohort study for management of severe preeclampsia
- Case report of hepatic retiform hemangioendothelioma: A rare tumor treated with ultrasound-guided microwave ablation
- Curcumin induces apoptosis in human hepatocellular carcinoma cells by decreasing the expression of STAT3/VEGF/HIF-1α signaling
- Rare presentation of double-clonal Waldenström macroglobulinemia with pulmonary embolism: A case report
- Giant duplication of the transverse colon in an adult: A case report and literature review
- Ectopic thyroid tissue in the breast: A case report
- SDR16C5 promotes proliferation and migration and inhibits apoptosis in pancreatic cancer
- Vaginal metastasis from breast cancer: A case report
- Screening of the best time window for MSC transplantation to treat acute myocardial infarction with SDF-1α antibody-loaded targeted ultrasonic microbubbles: An in vivo study in miniswine
- Inhibition of TAZ impairs the migration ability of melanoma cells
- Molecular complexity analysis of the diagnosis of Gitelman syndrome in China
- Effects of maternal calcium and protein intake on the development and bone metabolism of offspring mice
- Identification of winter wheat pests and diseases based on improved convolutional neural network
- Ultra-multiplex PCR technique to guide treatment of Aspergillus-infected aortic valve prostheses
- Virtual high-throughput screening: Potential inhibitors targeting aminopeptidase N (CD13) and PIKfyve for SARS-CoV-2
- Immune checkpoint inhibitors in cancer patients with COVID-19
- Utility of methylene blue mixed with autologous blood in preoperative localization of pulmonary nodules and masses
- Integrated analysis of the microbiome and transcriptome in stomach adenocarcinoma
- Berberine suppressed sarcopenia insulin resistance through SIRT1-mediated mitophagy
- DUSP2 inhibits the progression of lupus nephritis in mice by regulating the STAT3 pathway
- Lung abscess by Fusobacterium nucleatum and Streptococcus spp. co-infection by mNGS: A case series
- Genetic alterations of KRAS and TP53 in intrahepatic cholangiocarcinoma associated with poor prognosis
- Granulomatous polyangiitis involving the fourth ventricle: Report of a rare case and a literature review
- Studying infant mortality: A demographic analysis based on data mining models
- Metaplastic breast carcinoma with osseous differentiation: A report of a rare case and literature review
- Protein Z modulates the metastasis of lung adenocarcinoma cells
- Inhibition of pyroptosis and apoptosis by capsaicin protects against LPS-induced acute kidney injury through TRPV1/UCP2 axis in vitro
- TAK-242, a toll-like receptor 4 antagonist, against brain injury by alleviates autophagy and inflammation in rats
- Primary mediastinum Ewing’s sarcoma with pleural effusion: A case report and literature review
- Association of ADRB2 gene polymorphisms and intestinal microbiota in Chinese Han adolescents
- Tanshinone IIA alleviates chondrocyte apoptosis and extracellular matrix degeneration by inhibiting ferroptosis
- Study on the cytokines related to SARS-Cov-2 in testicular cells and the interaction network between cells based on scRNA-seq data
- Effect of periostin on bone metabolic and autophagy factors during tooth eruption in mice
- HP1 induces ferroptosis of renal tubular epithelial cells through NRF2 pathway in diabetic nephropathy
- Intravaginal estrogen management in postmenopausal patients with vaginal squamous intraepithelial lesions along with CO2 laser ablation: A retrospective study
- Hepatocellular carcinoma cell differentiation trajectory predicts immunotherapy, potential therapeutic drugs, and prognosis of patients
- Effects of physical exercise on biomarkers of oxidative stress in healthy subjects: A meta-analysis of randomized controlled trials
- Identification of lysosome-related genes in connection with prognosis and immune cell infiltration for drug candidates in head and neck cancer
- Development of an instrument-free and low-cost ELISA dot-blot test to detect antibodies against SARS-CoV-2
- Research progress on gas signal molecular therapy for Parkinson’s disease
- Adiponectin inhibits TGF-β1-induced skin fibroblast proliferation and phenotype transformation via the p38 MAPK signaling pathway
- The G protein-coupled receptor-related gene signatures for predicting prognosis and immunotherapy response in bladder urothelial carcinoma
- α-Fetoprotein contributes to the malignant biological properties of AFP-producing gastric cancer
- CXCL12/CXCR4/CXCR7 axis in placenta tissues of patients with placenta previa
- Association between thyroid stimulating hormone levels and papillary thyroid cancer risk: A meta-analysis
- Significance of sTREM-1 and sST2 combined diagnosis for sepsis detection and prognosis prediction
- Diagnostic value of serum neuroactive substances in the acute exacerbation of chronic obstructive pulmonary disease complicated with depression
- Research progress of AMP-activated protein kinase and cardiac aging
- TRIM29 knockdown prevented the colon cancer progression through decreasing the ubiquitination levels of KRT5
- Cross-talk between gut microbiota and liver steatosis: Complications and therapeutic target
- Metastasis from small cell lung cancer to ovary: A case report
- The early diagnosis and pathogenic mechanisms of sepsis-related acute kidney injury
- The effect of NK cell therapy on sepsis secondary to lung cancer: A case report
- Erianin alleviates collagen-induced arthritis in mice by inhibiting Th17 cell differentiation
- Loss of ACOX1 in clear cell renal cell carcinoma and its correlation with clinical features
- Signalling pathways in the osteogenic differentiation of periodontal ligament stem cells
- Crosstalk between lactic acid and immune regulation and its value in the diagnosis and treatment of liver failure
- Clinicopathological features and differential diagnosis of gastric pleomorphic giant cell carcinoma
- Traumatic brain injury and rTMS-ERPs: Case report and literature review
- Extracellular fibrin promotes non-small cell lung cancer progression through integrin β1/PTEN/AKT signaling
- Knockdown of DLK4 inhibits non-small cell lung cancer tumor growth by downregulating CKS2
- The co-expression pattern of VEGFR-2 with indicators related to proliferation, apoptosis, and differentiation of anagen hair follicles
- Inflammation-related signaling pathways in tendinopathy
- CD4+ T cell count in HIV/TB co-infection and co-occurrence with HL: Case report and literature review
- Clinical analysis of severe Chlamydia psittaci pneumonia: Case series study
- Bioinformatics analysis to identify potential biomarkers for the pulmonary artery hypertension associated with the basement membrane
- Influence of MTHFR polymorphism, alone or in combination with smoking and alcohol consumption, on cancer susceptibility
- Catharanthus roseus (L.) G. Don counteracts the ampicillin resistance in multiple antibiotic-resistant Staphylococcus aureus by downregulation of PBP2a synthesis
- Combination of a bronchogenic cyst in the thoracic spinal canal with chronic myelocytic leukemia
- Bacterial lipoprotein plays an important role in the macrophage autophagy and apoptosis induced by Salmonella typhimurium and Staphylococcus aureus
- TCL1A+ B cells predict prognosis in triple-negative breast cancer through integrative analysis of single-cell and bulk transcriptomic data
- Ezrin promotes esophageal squamous cell carcinoma progression via the Hippo signaling pathway
- Ferroptosis: A potential target of macrophages in plaque vulnerability
- Predicting pediatric Crohn's disease based on six mRNA-constructed risk signature using comprehensive bioinformatic approaches
- Applications of genetic code expansion and photosensitive UAAs in studying membrane proteins
- HK2 contributes to the proliferation, migration, and invasion of diffuse large B-cell lymphoma cells by enhancing the ERK1/2 signaling pathway
- IL-17 in osteoarthritis: A narrative review
- Circadian cycle and neuroinflammation
- Probiotic management and inflammatory factors as a novel treatment in cirrhosis: A systematic review and meta-analysis
- Hemorrhagic meningioma with pulmonary metastasis: Case report and literature review
- SPOP regulates the expression profiles and alternative splicing events in human hepatocytes
- Knockdown of SETD5 inhibited glycolysis and tumor growth in gastric cancer cells by down-regulating Akt signaling pathway
- PTX3 promotes IVIG resistance-induced endothelial injury in Kawasaki disease by regulating the NF-κB pathway
- Pancreatic ectopic thyroid tissue: A case report and analysis of literature
- The prognostic impact of body mass index on female breast cancer patients in underdeveloped regions of northern China differs by menopause status and tumor molecular subtype
- Report on a case of liver-originating malignant melanoma of unknown primary
- Case report: Herbal treatment of neutropenic enterocolitis after chemotherapy for breast cancer
- The fibroblast growth factor–Klotho axis at molecular level
- Characterization of amiodarone action on currents in hERG-T618 gain-of-function mutations
- A case report of diagnosis and dynamic monitoring of Listeria monocytogenes meningitis with NGS
- Effect of autologous platelet-rich plasma on new bone formation and viability of a Marburg bone graft
- Small breast epithelial mucin as a useful prognostic marker for breast cancer patients
- Continuous non-adherent culture promotes transdifferentiation of human adipose-derived stem cells into retinal lineage
- Nrf3 alleviates oxidative stress and promotes the survival of colon cancer cells by activating AKT/BCL-2 signal pathway
- Favorable response to surufatinib in a patient with necrolytic migratory erythema: A case report
- Case report of atypical undernutrition of hypoproteinemia type
- Down-regulation of COL1A1 inhibits tumor-associated fibroblast activation and mediates matrix remodeling in the tumor microenvironment of breast cancer
- Sarcoma protein kinase inhibition alleviates liver fibrosis by promoting hepatic stellate cells ferroptosis
- Research progress of serum eosinophil in chronic obstructive pulmonary disease and asthma
- Clinicopathological characteristics of co-existing or mixed colorectal cancer and neuroendocrine tumor: Report of five cases
- Role of menopausal hormone therapy in the prevention of postmenopausal osteoporosis
- Precisional detection of lymph node metastasis using tFCM in colorectal cancer
- Advances in diagnosis and treatment of perimenopausal syndrome
- A study of forensic genetics: ITO index distribution and kinship judgment between two individuals
- Acute lupus pneumonitis resembling miliary tuberculosis: A case-based review
- Plasma levels of CD36 and glutathione as biomarkers for ruptured intracranial aneurysm
- Fractalkine modulates pulmonary angiogenesis and tube formation by modulating CX3CR1 and growth factors in PVECs
- Novel risk prediction models for deep vein thrombosis after thoracotomy and thoracoscopic lung cancer resections, involving coagulation and immune function
- Exploring the diagnostic markers of essential tremor: A study based on machine learning algorithms
- Evaluation of effects of small-incision approach treatment on proximal tibia fracture by deep learning algorithm-based magnetic resonance imaging
- An online diagnosis method for cancer lesions based on intelligent imaging analysis
- Medical imaging in rheumatoid arthritis: A review on deep learning approach
- Predictive analytics in smart healthcare for child mortality prediction using a machine learning approach
- Utility of neutrophil–lymphocyte ratio and platelet–lymphocyte ratio in predicting acute-on-chronic liver failure survival
- A biomedical decision support system for meta-analysis of bilateral upper-limb training in stroke patients with hemiplegia
- TNF-α and IL-8 levels are positively correlated with hypobaric hypoxic pulmonary hypertension and pulmonary vascular remodeling in rats
- Stochastic gradient descent optimisation for convolutional neural network for medical image segmentation
- Comparison of the prognostic value of four different critical illness scores in patients with sepsis-induced coagulopathy
- Application and teaching of computer molecular simulation embedded technology and artificial intelligence in drug research and development
- Hepatobiliary surgery based on intelligent image segmentation technology
- Value of brain injury-related indicators based on neural network in the diagnosis of neonatal hypoxic-ischemic encephalopathy
- Analysis of early diagnosis methods for asymmetric dementia in brain MR images based on genetic medical technology
- Early diagnosis for the onset of peri-implantitis based on artificial neural network
- Clinical significance of the detection of serum IgG4 and IgG4/IgG ratio in patients with thyroid-associated ophthalmopathy
- Forecast of pain degree of lumbar disc herniation based on back propagation neural network
- SPA-UNet: A liver tumor segmentation network based on fused multi-scale features
- Systematic evaluation of clinical efficacy of CYP1B1 gene polymorphism in EGFR mutant non-small cell lung cancer observed by medical image
- Rehabilitation effect of intelligent rehabilitation training system on hemiplegic limb spasms after stroke
- A novel approach for minimising anti-aliasing effects in EEG data acquisition
- ErbB4 promotes M2 activation of macrophages in idiopathic pulmonary fibrosis
- Clinical role of CYP1B1 gene polymorphism in prediction of postoperative chemotherapy efficacy in NSCLC based on individualized health model
- Lung nodule segmentation via semi-residual multi-resolution neural networks
- Evaluation of brain nerve function in ICU patients with Delirium by deep learning algorithm-based resting state MRI
- A data mining technique for detecting malignant mesothelioma cancer using multiple regression analysis
- Markov model combined with MR diffusion tensor imaging for predicting the onset of Alzheimer’s disease
- Effectiveness of the treatment of depression associated with cancer and neuroimaging changes in depression-related brain regions in patients treated with the mediator-deuterium acupuncture method
- Molecular mechanism of colorectal cancer and screening of molecular markers based on bioinformatics analysis
- Monitoring and evaluation of anesthesia depth status data based on neuroscience
- Exploring the conformational dynamics and thermodynamics of EGFR S768I and G719X + S768I mutations in non-small cell lung cancer: An in silico approaches
- Optimised feature selection-driven convolutional neural network using gray level co-occurrence matrix for detection of cervical cancer
- Incidence of different pressure patterns of spinal cerebellar ataxia and analysis of imaging and genetic diagnosis
- Pathogenic bacteria and treatment resistance in older cardiovascular disease patients with lung infection and risk prediction model
- Adoption value of support vector machine algorithm-based computed tomography imaging in the diagnosis of secondary pulmonary fungal infections in patients with malignant hematological disorders
- From slides to insights: Harnessing deep learning for prognostic survival prediction in human colorectal cancer histology
- Ecology and Environmental Science
- Monitoring of hourly carbon dioxide concentration under different land use types in arid ecosystem
- Comparing the differences of prokaryotic microbial community between pit walls and bottom from Chinese liquor revealed by 16S rRNA gene sequencing
- Effects of cadmium stress on fruits germination and growth of two herbage species
- Bamboo charcoal affects soil properties and bacterial community in tea plantations
- Optimization of biogas potential using kinetic models, response surface methodology, and instrumental evidence for biodegradation of tannery fleshings during anaerobic digestion
- Understory vegetation diversity patterns of Platycladus orientalis and Pinus elliottii communities in Central and Southern China
- Studies on macrofungi diversity and discovery of new species of Abortiporus from Baotianman World Biosphere Reserve
- Food Science
- Effect of berrycactus fruit (Myrtillocactus geometrizans) on glutamate, glutamine, and GABA levels in the frontal cortex of rats fed with a high-fat diet
- Guesstimate of thymoquinone diversity in Nigella sativa L. genotypes and elite varieties collected from Indian states using HPTLC technique
- Analysis of bacterial community structure of Fuzhuan tea with different processing techniques
- Untargeted metabolomics reveals sour jujube kernel benefiting the nutritional value and flavor of Morchella esculenta
- Mycobiota in Slovak wine grapes: A case study from the small Carpathians wine region
- Elemental analysis of Fadogia ancylantha leaves used as a nutraceutical in Mashonaland West Province, Zimbabwe
- Microbiological transglutaminase: Biotechnological application in the food industry
- Influence of solvent-free extraction of fish oil from catfish (Clarias magur) heads using a Taguchi orthogonal array design: A qualitative and quantitative approach
- Chromatographic analysis of the chemical composition and anticancer activities of Curcuma longa extract cultivated in Palestine
- The potential for the use of leghemoglobin and plant ferritin as sources of iron
- Investigating the association between dietary patterns and glycemic control among children and adolescents with T1DM
- Bioengineering and Biotechnology
- Biocompatibility and osteointegration capability of β-TCP manufactured by stereolithography 3D printing: In vitro study
- Clinical characteristics and the prognosis of diabetic foot in Tibet: A single center, retrospective study
- Agriculture
- Biofertilizer and NPSB fertilizer application effects on nodulation and productivity of common bean (Phaseolus vulgaris L.) at Sodo Zuria, Southern Ethiopia
- On correlation between canopy vegetation and growth indexes of maize varieties with different nitrogen efficiencies
- Exopolysaccharides from Pseudomonas tolaasii inhibit the growth of Pleurotus ostreatus mycelia
- A transcriptomic evaluation of the mechanism of programmed cell death of the replaceable bud in Chinese chestnut
- Melatonin enhances salt tolerance in sorghum by modulating photosynthetic performance, osmoregulation, antioxidant defense, and ion homeostasis
- Effects of plant density on alfalfa (Medicago sativa L.) seed yield in western Heilongjiang areas
- Identification of rice leaf diseases and deficiency disorders using a novel DeepBatch technique
- Artificial intelligence and internet of things oriented sustainable precision farming: Towards modern agriculture
- Animal Sciences
- Effect of ketogenic diet on exercise tolerance and transcriptome of gastrocnemius in mice
- Combined analysis of mRNA–miRNA from testis tissue in Tibetan sheep with different FecB genotypes
- Isolation, identification, and drug resistance of a partially isolated bacterium from the gill of Siniperca chuatsi
- Tracking behavioral changes of confined sows from the first mating to the third parity
- The sequencing of the key genes and end products in the TLR4 signaling pathway from the kidney of Rana dybowskii exposed to Aeromonas hydrophila
- Development of a new candidate vaccine against piglet diarrhea caused by Escherichia coli
- Plant Sciences
- Crown and diameter structure of pure Pinus massoniana Lamb. forest in Hunan province, China
- Genetic evaluation and germplasm identification analysis on ITS2, trnL-F, and psbA-trnH of alfalfa varieties germplasm resources
- Tissue culture and rapid propagation technology for Gentiana rhodantha
- Effects of cadmium on the synthesis of active ingredients in Salvia miltiorrhiza
- Cloning and expression analysis of VrNAC13 gene in mung bean
- Chlorate-induced molecular floral transition revealed by transcriptomes
- Effects of warming and drought on growth and development of soybean in Hailun region
- Effects of different light conditions on transient expression and biomass in Nicotiana benthamiana leaves
- Comparative analysis of the rhizosphere microbiome and medicinally active ingredients of Atractylodes lancea from different geographical origins
- Distinguish Dianthus species or varieties based on chloroplast genomes
- Comparative transcriptomes reveal molecular mechanisms of apple blossoms of different tolerance genotypes to chilling injury
- Study on fresh processing key technology and quality influence of Cut Ophiopogonis Radix based on multi-index evaluation
- An advanced approach for fig leaf disease detection and classification: Leveraging image processing and enhanced support vector machine methodology
- Erratum
- Erratum to “Protein Z modulates the metastasis of lung adenocarcinoma cells”
- Erratum to “BRCA1 subcellular localization regulated by PI3K signaling pathway in triple-negative breast cancer MDA-MB-231 cells and hormone-sensitive T47D cells”
- Retraction
- Retraction to “Protocatechuic acid attenuates cerebral aneurysm formation and progression by inhibiting TNF-alpha/Nrf-2/NF-kB-mediated inflammatory mechanisms in experimental rats”
