Technical Advancements of Machine Learning in Healthcare (Hardcover, 1st ed. 2021)


This book focuses on various advanced technologies which integrate with machine learning to assist one of the most leading industries, healthcare. It presents recent research works based on machine learning approaches supported by medical and information communication technologies with the use of data and image analysis. The book presents insight about techniques which broadly deals in delivery of quality, accurate and affordable healthcare solutions by predictive, proactive and preventative methods. The book also explores the possible use of machine learning in enterprises, such as enhanced medical imaging/diagnostics, understanding medical data, drug discovery and development, robotic surgery and automation, radiation treatments, creating electronic smart records and outbreak prediction.

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Product Description

This book focuses on various advanced technologies which integrate with machine learning to assist one of the most leading industries, healthcare. It presents recent research works based on machine learning approaches supported by medical and information communication technologies with the use of data and image analysis. The book presents insight about techniques which broadly deals in delivery of quality, accurate and affordable healthcare solutions by predictive, proactive and preventative methods. The book also explores the possible use of machine learning in enterprises, such as enhanced medical imaging/diagnostics, understanding medical data, drug discovery and development, robotic surgery and automation, radiation treatments, creating electronic smart records and outbreak prediction.

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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Series

Studies in Computational Intelligence, 936

Release date

February 2021

Availability

Expected to ship within 12 - 17 working days

First published

2021

Editors

, , ,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

388

Edition

1st ed. 2021

ISBN-13

978-981-3346-97-0

Barcode

9789813346970

Categories

LSN

981-3346-97-3



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