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Artificial Intelligence for Informat...
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G. M., Siddesh.
Artificial Intelligence for Information Management: A Healthcare Perspective
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Artificial Intelligence for Information Management: A Healthcare Perspective/ edited by K. G. Srinivasa, Siddesh G. M., S. R. Mani Sekhar.
other author:
Sekhar, S. R. Mani.
Description:
XIV, 329 p. 134 illus., 93 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Health Informatics. -
Online resource:
https://doi.org/10.1007/978-981-16-0415-7
ISBN:
9789811604157
Artificial Intelligence for Information Management: A Healthcare Perspective
Artificial Intelligence for Information Management: A Healthcare Perspective
[electronic resource] /edited by K. G. Srinivasa, Siddesh G. M., S. R. Mani Sekhar. - 1st ed. 2021. - XIV, 329 p. 134 illus., 93 illus. in color.online resource. - Studies in Big Data,882197-6511 ;. - Studies in Big Data,8.
Introduction to Healthcare Information Management and Machine Learning -- Introduction to Artificial Intelligence -- Healthcare Data Analytics using Artificial Intelligence -- Data Collection and Processing in Healthcare -- Social Media Analytics for Healthcare -- Security and Privacy Issues in Healthcare -- Healthcare Data Visualization -- Management of Dementia Through Self Help and Assistive Technologies -- Classification and Prediction of Leukemia Using Gene Expression Profile -- Artificial Intelligence in Medicine: Diabetes as a Model -- Estimation of Basic Reproduction Number and Herd Immunity for COVID-19 in India -- Smart Healthcare: Using IoT and Machine Learning based Analytics.
This book discusses the advancements in artificial intelligent techniques used in the well-being of human healthcare. It details the techniques used in collection, storage and analysis of data and their usage in different healthcare solutions. It also discusses the techniques of predictive analysis in early diagnosis of critical diseases. The edited book is divided into four parts – part A discusses introduction to artificial intelligence and machine learning in healthcare; part B highlights different analytical techniques used in healthcare; part C provides various security and privacy mechanisms used in healthcare; and finally, part D exemplifies different tools used in visualization and data analytics.
ISBN: 9789811604157
Standard No.: 10.1007/978-981-16-0415-7doiSubjects--Topical Terms:
593963
Health Informatics.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Artificial Intelligence for Information Management: A Healthcare Perspective
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Introduction to Healthcare Information Management and Machine Learning -- Introduction to Artificial Intelligence -- Healthcare Data Analytics using Artificial Intelligence -- Data Collection and Processing in Healthcare -- Social Media Analytics for Healthcare -- Security and Privacy Issues in Healthcare -- Healthcare Data Visualization -- Management of Dementia Through Self Help and Assistive Technologies -- Classification and Prediction of Leukemia Using Gene Expression Profile -- Artificial Intelligence in Medicine: Diabetes as a Model -- Estimation of Basic Reproduction Number and Herd Immunity for COVID-19 in India -- Smart Healthcare: Using IoT and Machine Learning based Analytics.
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This book discusses the advancements in artificial intelligent techniques used in the well-being of human healthcare. It details the techniques used in collection, storage and analysis of data and their usage in different healthcare solutions. It also discusses the techniques of predictive analysis in early diagnosis of critical diseases. The edited book is divided into four parts – part A discusses introduction to artificial intelligence and machine learning in healthcare; part B highlights different analytical techniques used in healthcare; part C provides various security and privacy mechanisms used in healthcare; and finally, part D exemplifies different tools used in visualization and data analytics.
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