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book: Artificial Intelligence and Computational Dynamics for Biomedical Research
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Artificial Intelligence and Computational Dynamics for Biomedical Research

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Language: English
Published/Copyright: 2022
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Intelligent Biomedical Data Analysis

About this book

This work presents the latest development in the field of computational intelligence to advance Big Data and Cloud Computing concerning applications in medical diagnosis. As forum for academia and professionals it covers state-of-the-art research challenges and issues in the digital information & knowledge management and the concerns along with the solutions adopted in these fields.

  • Case studies illustrating individual problems and strategies.

  • Examples of medical diagnosis with Artificial Intelligence and Big Data Analytics.

Author / Editor information

Ankur Saxena, Amity University, India; Nicolas Brault, UniLaSalle, Beauvais, France.

Topics

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    Frontmatter

    I
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  • Publicly Available

    Contents

    V
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    Recent advancements in biomedical research in the era of AI and ML

    1
    Hina Bansal, Reet Kaur Kohli, Kunal Saluja and Ankur Chaurasia
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    Prediction of cardiovascular diseases using random forest and naive Bayes algorithm

    21
    Ranjana Jadaun, Shreya Jain, Jyoti Prajapati, Nitin Sharma, Ankur Saxena and Anupama Avasthi
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    Big data analytics for personalized medicine

    39
    Ravindra Kumar and Kajal Prajapati
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    Intellection of biological life in current era

    53
    Potshangbam Angamba Meetei, Ruchi Jakhmola Mani, Vaishali Mehta and Deepshikha Pande Katare
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    Integrating artificial intelligence techniques for analysis of next-generation sequencing data

    67
    Priyanka Narad, Abhishek Sengupta, Payal Gupta, Payal Priyadarshini, Sudeepti Kulshrestha and Ankur Chaurasia
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    Artificial intelligence: the future of neuroscience

    97
    Ruchi Jakhmola Mani, Shikha Rani, Mukund Sharma, Deepshikha Pande Katare and Ritu Chauhan
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    Role of big data and artificial intelligence for COVID-19 and cancer diagnosis and treatments

    117
    Sampath Chinnam, Shruti Rathore and Vanshika Jain
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    Integrating screening modalities for early and precision-oriented evidence-based screening of cervical cancer – a holistic approach

    145
    Rajiv Janardhanan, Bhavika Chawla, Kumar Dron Shrivastav, Neha Taneja, Jashoda Kishanlal Suthar, Mehak Segan, Vinita Kumar Jaggi, Harpreet Singh and Priya Ranjan
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    Role of artificial intelligence and machine learning in diagnosis and treatment of women centric cancer

    155
    Asim Bikas Das, Vidya Moni and Shantosh Cumarasurier
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    The role of artificial intelligence, machine learning and deep learning in the diagnosis, prognosis and treatment of cancers primarily associated with women

    167
    Ankur Saxena, Mohit Saxena, Dhaval Kumar Srivastava, Aditya Vikram Singh and Kaamya Sharma
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    Oropharyngeal cancer prognosis based on clinicopathologic and quantitative imaging biomarkers with multiparametric model and machine learning methods

    197
    Anupama Avasthi, Anushree A Avasthi and Bhawna Rathi
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    Artificial intelligence and machine learning in healthcare: an ethical perspective

    213
    Smitha Mony Sreedharan, Parinita Sharma, Ankur Saxena and Anveshita De
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    Artificial intelligence in dentistry: current issues and perspectives

    229
    Nada Hussein
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    AI for pattern recognition and objectivity: the case of melanoma detection

    249
    Benoît Duchemann
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    Ethical horizons of biobank-based artificial intelligence in biomedical research

    265
    Nicolas Brault and Etienne Aucouturier
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    Index

    289
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Publishing information
Pages and Images/Illustrations in book
eBook published on:
November 7, 2022
eBook ISBN:
9783110762044
Hardcover published on:
November 7, 2022
Hardcover ISBN:
9783110761993
Pages and Images/Illustrations in book
Front matter:
6
Main content:
292
Illustrations:
5
Coloured Illustrations:
52
Tables:
18
https://doi.org/10.1515/9783110762044
eBook ISBN: 9783110762044
Hardcover ISBN: 9783110761993
Keywords for this book
Artificial Intelligence; Big Data; Cloud Computing; Biomedicine; Medical Diagnosis
Audience(s) for this book
Researchers in the fields of computer science and biomedical engineering as well PhD students.
Safety & product resources
Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com
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