Explainable Machine Learning in Medicine
Book Details
Format
Paperback / softback
ISBN-10
3031448790
ISBN-13
9783031448799
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Dec 15th, 2024
Print length
82 Pages
Product Classification:
Biomedical engineeringBiomedical engineering / Medical engineeringComputer aided manufacture (CAM)Communications engineering / telecommunicationsDigital and Information technology: general topicsInformation technology: general issuesArtificial intelligenceArtificial intelligence (AI)
KSh 12,600.00
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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. Because a variety of data can be used in the medical field, the book explains how to deal with challenges connected with each type.
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.
Get Explainable Machine Learning in Medicine by Karol Przystalski, Rohit M. Thanki at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer International Publishing AG and it has 82 pages.
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