Overview
Analyzes the applications of artificial intelligence and machine learning in healthcare
Discusses the role of artificial intelligence in disease prognosis and management
Explores the role of AI in personalized and precision medicine
Introduce the concept of BIAS in Big Data and machine learning
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Table of contents (11 chapters)
Keywords
About this book
Editors and Affiliations
About the editors
Dr. Shivani Chandra is an Assistant Professor at Amity Institute of Biotechnology, Amity University, Uttar Pradesh, Noida. She has more than 20 years of experience in biotechnology and molecular biology. Her research interests includes genomics analysis, computational biology, and bioinformatics data analysis. She has submitted more than 4000 clones to the NCBI GenBank and was one of the key players in the Rice Genome Sequencing Project. She has published several research articles in genome sequencing, comparative genomics, and genome analysis in reputed journals. She has more than 15 years of teaching experience in computational biology, molecular biology, genetics, recombinant DNA Technology, and bioinformatics.
Bibliographic Information
Book Title: Artificial Intelligence and Machine Learning in Healthcare
Editors: Ankur Saxena, Shivani Chandra
DOI: https://doi.org/10.1007/978-981-16-0811-7
Publisher: Springer Singapore
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-16-0810-0Published: 07 May 2021
Softcover ISBN: 978-981-16-0813-1Published: 08 May 2022
eBook ISBN: 978-981-16-0811-7Published: 06 May 2021
Edition Number: 1
Number of Pages: XV, 228
Number of Illustrations: 31 b/w illustrations, 88 illustrations in colour
Topics: Bioinformatics, Health Care Management, Medicine/Public Health, general, Artificial Intelligence