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Artificial Intelligence for Information Management: A Healthcare Perspective / edited by K. G. Srinivasa, Siddesh G. M., S. R. Mani Sekhar.

Contributor(s): Srinivasa, K. G., editor literario | Siddesh, G. M., (1981-), editor literario | Sekhar, S. R. Mani, editor literario
Series: (Studies in Big Data, 2197-6511; 88); (Intelligent Technologies and Robotics (SpringerNature-42732)); (Intelligent Technologies and Robotics (R0) (SpringerNature-43728)).Publisher: Singapore : Springer International Pulishing, 2021Edition: First edition 2021.Description: 1 recurso en línea (XIV, 329 páginas) : 134 ilustraciones, 93 ilustraciones a color.ISBN: 9789811604157.Subject: Informática médicaOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
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.
Abstract: 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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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería R859.7.A78 2021 EB (Browse shelf(Opens below)) Acceso electrónico eBook.23122200
Total holds: 0

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.

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