國立高雄大學圖資館 |

Language: English

Back

Technical advancements of machine le...

SpringerLink (Online service)

Technical advancements of machine learning in healthcare

Record Type:	Electronic resources : Monograph/item
Title/Author:	Technical advancements of machine learning in healthcareedited by Hrudaya Kumar Tripathy ... [et al.].
other author:	Tripathy, Hrudaya Kumar.
Published:	Singapore :Springer Singapore :2021.
Description:	xiii, 388 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machine learning.
Online resource:	https://doi.org/10.1007/978-981-33-4698-7
ISBN:	9789813346987$q(electronic bk.)

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. 216..

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$q(electronic bk.)

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

188639
Machine learning.

LC Class. No.: R859.7.M33

Dewey Class. No.: 610.28563

Technical advancements of machine learning in healthcare
LDR:02543nmm a2200337 a 4500 001 600558
003 DE-He213
005 20210521111636.0
006 m d
007 cr nn 008maaau
008 211104s2021 si s 0 eng d
020 $a 9789813346987$q(electronic bk.)
020 $a 9789813346970$q(paper)
024 7 $a 10.1007/978-981-33-4698-7 $2 doi
035 $a 978-981-33-4698-7
040 $a GP $c GP
041 0 $a eng
050 4 $a R859.7.M33
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 610.28563 $2 23
090 $a R859.7.M33 $b T255 2021
245 0 0 $a Technical advancements of machine learning in healthcare $h [electronic resource] / $c edited by Hrudaya Kumar Tripathy ... [et al.].
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
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.
650 0 $a Machine learning. $3 188639
650 0 $a Artificial intelligence $x Medical applications. $3 237917
650 0 $a Medical innovations. $3 234116
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Machine Learning. $3 833608
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Health Informatics. $3 274212
700 1 $a Tripathy, Hrudaya Kumar. $3 891392
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Studies in computational intelligence ; $v v. 216. $3 380871
856 4 0 $u https://doi.org/10.1007/978-981-33-4698-7
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)