Artificial Intelligence and Machine Learning in Healthcare (Paperback, 1st ed. 2021)

This book reviews the application of artificial intelligence and machine learning in healthcare. It discusses integrating the principles of computer science, life science, and statistics incorporated into statistical models using existing data, discovering patterns in data to extract the information, and predicting the changes and diseases based on this data and models. The initial chapters of the book cover the practical applications of artificial intelligence for disease prognosis & management. Further, the role of artificial intelligence and machine learning is discussed with reference to specific diseases like diabetes mellitus, cancer, mycobacterium tuberculosis, and Covid-19. The chapters provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and artificial intelligence. The book also touches upon precision medicine, personalized medicine, and transfer learning, with the real examples. Further, it also discusses the use of machine learning and artificial intelligence for visualization, prediction, detection, and diagnosis of Covid -19. This book is a valuable source of information for programmers, healthcare professionals, and researchers interested in understanding the applications of artificial intelligence and machine learning in healthcare.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	May 2022
First published:	2021
Editors:	Ankur Saxena • Shivani Chandra
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	228
Edition:	1st ed. 2021
ISBN-13:	978-981-16-0813-1
Categories:	Books > Business & Economics > Economics > General Books > Medicine > General issues > Health systems & services > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	981-16-0813-X
Barcode:	9789811608131

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