UID:
almahu_9949272508902882
Format:
VIII, 318 p. 116 illus., 73 illus. in color.
,
online resource.
Edition:
1st ed. 2022.
ISBN:
9789811694769
Series Statement:
Disruptive Technologies and Digital Transformations for Society 5.0,
Content:
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.
Note:
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.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9789811694752
Additional Edition:
Printed edition: ISBN 9789811694776
Additional Edition:
Printed edition: ISBN 9789811694783
Language:
English
DOI:
10.1007/978-981-16-9476-9
URL:
https://doi.org/10.1007/978-981-16-9476-9
