Explainable Machine Learning in Medicine (1st ed. 2024) (Synthesis Lectures on Engineering, Science, and Technology)

By: Karol Przystalski and Rohit M. Thanki

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Synopsis: This book covers a variety of advanced communications technologies that can be used to analyze medical data and can be used to diagnose diseases in clinic centers. The book is a primer of methods for medicine, providing an overview of explainable artificial intelligence (AI) techniques that can be applied in different medical challenges. The authors discuss how to select and apply the proper technology depending on the provided data and the analysis desired. Because a variety of data can be used in the medical field, the book explains how to deal with challenges connected with each type. A number of scenarios are introduced that can happen in real-time environments, with each pared with a type of machine learning that can be used to solve it.

Book Quality:: Publisher Quality
ISBN-13:: 9783031448775
Related ISBNs:: 9783031448768
Publisher:: Springer International Publishing
Date of Addition:: 12/28/23
Copyrighted By:: The Editor
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Science, Computers and Internet, Technology, Medicine, Communication
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.