000			02100nam a22002177a 4500
005			20240206152622.0
008			240206b |||||||| |||| 00| 0 eng d
020			_a9789811608131
082			_a610.28563 _bSAX
245			_aArtificial intelligence and machine learning in healthcare
260			_bSpringer _aSingapore _c2021
300			_axv, 228 p.
365			_aEURO _b139.99
520			_aThis 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. (https://link.springer.com/book/10.1007/978-981-16-0811-7#about-this-book)
650			_a Artificial intelligence - Medical applications _913887
650			_aMachine learning _915068
650			_aMedical care - Technological innovations _913195
700			_aSaxena, Ankur _913945
700			_aChandra, Shivani _915069
942			_cBK _2ddc
999			_c5677 _d5677