Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications (Hardcover)


Covers the fundamentals of Machine Learning and Deep Learning in the context of healthcare applications Discusses various data collection approaches from various sources and how to use them in Machine Learning/Deep Learning models Integrates several aspects of AI-based Computational Intelligence like Machine Learning and Deep Learning from diversified perspectives which describe recent research trends and advanced topics in the field Explores the current and future impacts of pandemics and risk mitigation in healthcare with advanced analytics Emphazises feature selection as an important step in any accurate model simulation, ML/DL methods are used to help train the system and extract the positive solution implicitly

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Product Description

Covers the fundamentals of Machine Learning and Deep Learning in the context of healthcare applications Discusses various data collection approaches from various sources and how to use them in Machine Learning/Deep Learning models Integrates several aspects of AI-based Computational Intelligence like Machine Learning and Deep Learning from diversified perspectives which describe recent research trends and advanced topics in the field Explores the current and future impacts of pandemics and risk mitigation in healthcare with advanced analytics Emphazises feature selection as an important step in any accurate model simulation, ML/DL methods are used to help train the system and extract the positive solution implicitly

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Product Details

General

Imprint

Taylor & Francis

Country of origin

United Kingdom

Series

Biomedical and Robotics Healthcare

Release date

February 2022

Availability

Expected to ship within 9 - 15 working days

First published

2022

Editors

, ,

Dimensions

234 x 156 x 24mm (L x W x T)

Format

Hardcover

Pages

280

ISBN-13

978-1-03-212687-6

Barcode

9781032126876

Categories

LSN

1-03-212687-6



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