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Explainable Machine Learning in Medicine
Hoofdkenmerken
Auteur: Karol Przystalski; Rohit M. Thanki
Titel: Explainable Machine Learning in Medicine
Uitgever: Springer Nature
ISBN: 9783031448775
ISBN boekversie: 9783031448768
Prijs: € 95.91
Verschijningsdatum: 26-11-2023
Inhoudelijke kenmerken
Categorie: Intelligence (AI) & Semantics
Taal: English
Imprint: Springer
Technische kenmerken
Verschijningsvorm: E-book
 

Inhoudsopgave:

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.
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