Explainable Machine Learning in Medicine

Know about the book -

Explainable Machine Learning in Medicine is written by Karol Przystalski and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 3031448774 (ISBN 10) and 9783031448775 (ISBN 13).

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.