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Artificial Intelligence for Information Management: A Healthcare Perspective
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Main description:

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.


Contents:

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.


PRODUCT DETAILS

ISBN-13: 9789811604171
Publisher: Springer (Springer Verlag, Singapore)
Publication date: May, 2022
Pages: 329
Weight: 528g
Availability: Available
Subcategories: General Practice

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