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Geospatial data science in healthcare for society 5.0

Record Type:	Electronic resources : Monograph/item
Title/Author:	Geospatial data science in healthcare for society 5.0edited by Pradeep Kumar Garg ... [et al.].
other author:	Garg, Pradeep Kumar.
Published:	Singapore :Springer Singapore :2022.
Description:	viii, 318 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	World healthGeographic information systems.
Online resource:	https://doi.org/10.1007/978-981-16-9476-9
ISBN:	9789811694769$q(electronic bk.)

Geospatial data science in healthcare for society 5.0
Geospatial data science in healthcare for society 5.0[electronic resource] /edited by Pradeep Kumar Garg ... [et al.]. - Singapore :Springer Singapore :2022. - viii, 318 p. :ill., digital ;24 cm. - Disruptive technologies and digital transformations for society 5.0,2730-907X. - Disruptive technologies and digital transformations for society 5.0..

Potential of Geospatial Data in Healthcare for Society 5.0 -- Geospatial Health Data Analytics for Society 5.0 -- Relevance of spatio-temporal data visualisation techniques in healthcare system -- GIS and Remote Sensing for public health -- Infectious diseases and their tracking in GIS.

The book introduces a variety of latest techniques designed to represent, enhance, and empower multi-disciplinary approaches of geographic information system (GIS), artificial intelligence (AI), deep learning (DL), machine learning, and cloud computing research in healthcare. It provides a unique compendium of the current and emerging use of geospatial data for healthcare and reflects the diversity, complexity, and depth and breadth of this multi-disciplinary area. This book addresses various aspects of how smart healthcare devices can be used to detect and analyze diseases. Further, it describes various tools and techniques to evaluate the efficacy, suitability, and efficiency of geospatial data for health-related applications. It features illustrative case studies, including future applications and healthcare challenges. This book is beneficial for computer science and engineering students and researchers, medical professionals, and anyone interested in using geospatial data in healthcare. It is also intended for experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious to learn about this important subject. The book presents an effort to draw how we can build health-related applications using geospatial big data and their subsequent analysis.

ISBN: 9789811694769$q(electronic bk.)

Standard No.: 10.1007/978-981-16-9476-9doiSubjects--Topical Terms:

924335
World health
--Geographic information systems.

LC Class. No.: RA441 / .G46 2022

Dewey Class. No.: 362.10285

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520 $a The book introduces a variety of latest techniques designed to represent, enhance, and empower multi-disciplinary approaches of geographic information system (GIS), artificial intelligence (AI), deep learning (DL), machine learning, and cloud computing research in healthcare. It provides a unique compendium of the current and emerging use of geospatial data for healthcare and reflects the diversity, complexity, and depth and breadth of this multi-disciplinary area. This book addresses various aspects of how smart healthcare devices can be used to detect and analyze diseases. Further, it describes various tools and techniques to evaluate the efficacy, suitability, and efficiency of geospatial data for health-related applications. It features illustrative case studies, including future applications and healthcare challenges. This book is beneficial for computer science and engineering students and researchers, medical professionals, and anyone interested in using geospatial data in healthcare. It is also intended for experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious to learn about this important subject. The book presents an effort to draw how we can build health-related applications using geospatial big data and their subsequent analysis.
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