Machine Learning and Deep Learning in Efficacy Improvement of Healthcare Systems (Hardcover)

Explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real world biomedical and healthcare problems Provides guidance in developing intelligence based diagnostic systems, efficient models and cost effective machines Provides the latest research findings, solutions to the concerning issues and relevant theoretical frameworks in the area of machine learning and deep learning for healthcare systems Describes experiences and findings relating to protocol design, prototyping, experimental evaluation, real test-beds, and empirical characterization of security and privacy interoperability issues in healthcare applications Explores and illustrates the current and future impacts of pandemics and mitigatse risk in healthcare with advanced analytics

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Series:	Emerging Trends in Biomedical Technologies and Health informatics
Release date:	May 2022
First published:	2022
Editors:	Om Prakash Jena • Bharat Bhushan • Nitin Rakesh • Parma Nand Astya • Yousef Farhaoui
Dimensions:	234 x 156 x 29mm (L x W x T)
Format:	Hardcover
Pages:	379
ISBN-13:	978-1-03-203672-4
Categories:	Books > Medicine > General issues > Health systems & services > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	1-03-203672-9
Barcode:	9781032036724

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