Explainable Machine Learning in Medicine

£69.99

Explainable Machine Learning in Medicine

Biomedical engineering Communications engineering / telecommunications Computer applications in industry and technology Artificial intelligence

Authors: Karol Przystalski, Rohit M. Thanki

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Collection: Synthesis Lectures on Engineering, Science, and Technology

Language: English

Published by: Springer

Published on: 26th November 2023

Format: LCP-protected ePub

ISBN: 9783031448775


Overview of Advanced Communications Technologies in Medicine

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.

Application and Selection of Technologies

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.

Real-Time Scenarios and Machine Learning

A number of scenarios are introduced that can happen in real-time environments, with each paired with a type of machine learning that can be used to solve it.

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