Building Machine Learning–Based Prediction System for Critical Diseases
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P Oleeviya Babu
Abstract
When new technologies are created for the welfare of the humans, it also brings many challenges, particularly when it applied to healthcare. Machine learning is one of such new technology which is implemented to solve many of the problems in healthcare. Machine learning techniques have a huge impact on today’s day-today activities. Most of the applications are going to be automated using such techniques. Also, we are living in an era of providing better healthcare services to the human using technologies. In this chapter, we performed a study on role of machine learning techniques in healthcare applications and built prediction system for some of the critical diseases like sickle cell anemia, breast cancer, and heart diseases. We have analyzed some of the biomedical data with existing machine learning algorithms and identified some possible directions to the research community.
Abstract
When new technologies are created for the welfare of the humans, it also brings many challenges, particularly when it applied to healthcare. Machine learning is one of such new technology which is implemented to solve many of the problems in healthcare. Machine learning techniques have a huge impact on today’s day-today activities. Most of the applications are going to be automated using such techniques. Also, we are living in an era of providing better healthcare services to the human using technologies. In this chapter, we performed a study on role of machine learning techniques in healthcare applications and built prediction system for some of the critical diseases like sickle cell anemia, breast cancer, and heart diseases. We have analyzed some of the biomedical data with existing machine learning algorithms and identified some possible directions to the research community.
Chapters in this book
- Frontmatter I
- Contents V
- List of Authors VII
- The Learning of Deep Learning: Overview, Methods, and Applications 1
- Foundation of Cognitive Computing 19
- Applications and Implications of Artificial Intelligence and Deep Learning in Computer Vision 35
- A Study of Voice Recognition System Using Deep Learning Techniques 53
- Building Machine Learning–Based Prediction System for Critical Diseases 75
- An Overview of Internet of Things and Machine Learning for Smart Healthcare 97
- Nutrition Food Recognition Using Deep Learning Algorithm for Physically Challenged Human Being 113
- Healthcare Data Analysis Using Deep Learning Paradigm 129
- Cognitive Authentication for Smart Healthcare System 149
- Cognitive-Inspired Computer Vision Assist System for Diabetic Retinopathy Detection from Fundus Images 165
- A Novel Deep Belief Neural Network Model for Abstractive Text Summarization 179
- Index 201
Chapters in this book
- Frontmatter I
- Contents V
- List of Authors VII
- The Learning of Deep Learning: Overview, Methods, and Applications 1
- Foundation of Cognitive Computing 19
- Applications and Implications of Artificial Intelligence and Deep Learning in Computer Vision 35
- A Study of Voice Recognition System Using Deep Learning Techniques 53
- Building Machine Learning–Based Prediction System for Critical Diseases 75
- An Overview of Internet of Things and Machine Learning for Smart Healthcare 97
- Nutrition Food Recognition Using Deep Learning Algorithm for Physically Challenged Human Being 113
- Healthcare Data Analysis Using Deep Learning Paradigm 129
- Cognitive Authentication for Smart Healthcare System 149
- Cognitive-Inspired Computer Vision Assist System for Diabetic Retinopathy Detection from Fundus Images 165
- A Novel Deep Belief Neural Network Model for Abstractive Text Summarization 179
- Index 201
