UID:
almahu_9948654277202882
Format:
XIII, 388 p. 196 illus., 138 illus. in color.
,
online resource.
Edition:
1st ed. 2021.
ISBN:
9789813346987
Series Statement:
Studies in Computational Intelligence, 936
Content:
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.
Note:
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.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9789813346970
Additional Edition:
Printed edition: ISBN 9789813346994
Additional Edition:
Printed edition: ISBN 9789813347007
Language:
English
Subjects:
Computer Science
DOI:
10.1007/978-981-33-4698-7
URL:
https://doi.org/10.1007/978-981-33-4698-7
URL:
Volltext
(URL des Erstveröffentlichers)
