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Technical advancements of machine le...

Tripathy, Hrudaya Kumar.

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Technical advancements of machine learning in healthcare

Record Type:	Electronic resources : Monograph/item
Title/Author:	Technical advancements of machine learning in healthcare/ edited by Hrudaya Kumar Tripathy ... [et al.].
other author:	Tripathy, Hrudaya Kumar.
Published:	Singapore :Springer Singapore : : 2021.,
Description:	xiii, 388 p. :ill., digital ;24 cm.
[NT 15003449]:	Innovation on Machine Learning in Healthcare Services - An Introduction -- Big Data Application in Health Care: A Study -- Empirical Study on Different Feature Selection and Classification Algorithms for Prediction of Hepatitis Disease -- Meta Cognitive Neural Network for Emphysema Classification -- Analysis of Gaussian & Cauchy Mutations in K-Means Particle Swarm Optimization Algorithm for Data Clustering -- Emergence of Drug Discovery in Machine Learning -- Deep Learning Frameworks in Healthcare systems -- Deep Learning Neural Network and CNN based Diagnosis of Heart Diseases -- Deep learning model for efficient mammogram analysis.
Contained By:	Springer Nature eBook
Subject:	Machine learning. -
Online resource:	https://doi.org/10.1007/978-981-33-4698-7
ISBN:	9789813346987

Technical advancements of machine learning in healthcare
Technical advancements of machine learning in healthcare[electronic resource] /edited by Hrudaya Kumar Tripathy ... [et al.]. - Singapore :Springer Singapore :2021. - xiii, 388 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.9361860-949X ;. - Studies in computational intelligence ;v.936..

Innovation on Machine Learning in Healthcare Services - An Introduction -- Big Data Application in Health Care: A Study -- Empirical Study on Different Feature Selection and Classification Algorithms for Prediction of Hepatitis Disease -- Meta Cognitive Neural Network for Emphysema Classification -- Analysis of Gaussian & Cauchy Mutations in K-Means Particle Swarm Optimization Algorithm for Data Clustering -- Emergence of Drug Discovery in Machine Learning -- Deep Learning Frameworks in Healthcare systems -- Deep Learning Neural Network and CNN based Diagnosis of Heart Diseases -- Deep learning model for efficient mammogram analysis.

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.

ISBN: 9789813346987

Standard No.: 10.1007/978-981-33-4698-7doiSubjects--Topical Terms:

533906
Machine learning.

LC Class. No.: R859.7.M33

Dewey Class. No.: 610.28563

Technical advancements of machine learning in healthcare
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300 $a xiii, 388 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.936
505 0 $a Innovation on Machine Learning in Healthcare Services - An Introduction -- Big Data Application in Health Care: A Study -- Empirical Study on Different Feature Selection and Classification Algorithms for Prediction of Hepatitis Disease -- Meta Cognitive Neural Network for Emphysema Classification -- Analysis of Gaussian & Cauchy Mutations in K-Means Particle Swarm Optimization Algorithm for Data Clustering -- Emergence of Drug Discovery in Machine Learning -- Deep Learning Frameworks in Healthcare systems -- Deep Learning Neural Network and CNN based Diagnosis of Heart Diseases -- Deep learning model for efficient mammogram analysis.
520 $a 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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