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Explainable Machine Learning in Medicine

Explainable Machine Learning in Medicine

von Karol Przystalski und Rohit M. Thanki
Softcover - 9783031448799
85,59 €
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Beschreibung

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.

Details

Verlag Springer International Publishing
Ersterscheinung 15. Dezember 2024
Maße 24 cm x 16.8 cm
Gewicht 184 Gramm
Format Softcover
ISBN-13 9783031448799
Seiten 82

Schlagwörter

Artificial Intelligence, Biomedical Engineering and Bioengineering, Biomedizinische Technik, Communications Engineering - Networks, Computeranwendungen in Industrie und Technologie, Health Informatics, Künstliche Intelligenz, Nachrichtententechnik - Telekommunikation

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