Artificial Intelligence and Machine Learning in Healthcare is popular PDF and ePub book, written by Ankur Saxena in 2021-05-06, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Artificial Intelligence and Machine Learning in Healthcare can be Read Online from any device for your convenience.
Artificial Intelligence and Machine Learning in Healthcare Book PDF Summary
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.
Detail Book of Artificial Intelligence and Machine Learning in Healthcare PDF
- Author : Ankur Saxena
- Release : 06 May 2021
- Publisher : Springer Nature
- ISBN : 9789811608117
- Genre : Science
- Total Page : 228 pages
- Language : English
- PDF File Size : 16,7 Mb
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