Data-Driven Reproductive Health: Role of Bioinformatics and Machine Learning Methods

By: Abhishek Sengupta and Priyanka Narad and Gaurav Majumdar and Deepak Modi

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Synopsis: This book provides insight into the transformative impact of data-driven approaches on reproductive health. Chapters cover a wealth of intricate algorithms of genomic analysis, predictive modeling, and personalized treatment strategies, providing an up-to-date view of the reproductive healthcare landscape. With more than 20 code-based examples, the book decodes complex biological data using bioinformatics and machine learning and provides valuable insights into fertility, genetic disorders, and personalized medicine. This book is relevant for healthcare professionals, researchers, and students in the fields of reproductive medicine, bioinformatics, and genetics.

Book Quality:: Publisher Quality
ISBN-13:: 9789819774517
Related ISBNs:: 9789819774500
Publisher:: Springer Nature Singapore
Date of Addition:: 11/18/24
Copyrighted By:: The Editor
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Computers and Internet, Technology, Mathematics and Statistics, Medicine
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Abhishek Sengupta
Edited by:: Priyanka Narad
Edited by:: Gaurav Majumdar
Edited by:: Deepak Modi