| Description |
1 online resource (viii, 318 pages) |
| Series |
Disruptive technologies and digital transformations for society 5.0, 2730-907X |
|
Disruptive technologies and digital transformations for society 5.0, 2730-907X
|
| Contents |
Potential of Geospatial Data in Healthcare for Society 5.0 -- Geospatial Health Data Analytics for Society 5.0 -- Relevance of Spatio-temporal Data Visualization Techniques in Healthcare System - GIS and Remote Sensing for Public Health -- Infectious Disease and Their Tracking in GIS -- Internet of Things in Healthcare -- IoT Empowered Smart Health Cities -- Geospatial Data in Health Insurance -- Epidemic Incidence Modeling and Forecasting Geospatially Using Machine Learning -- Connected and Smart Medical Devices -- ICT for Real-Time Health Monitoring -- Role of ICT in Telemedicine -- NSDI Based Innovative Approach for Development of Open Source SDI for Health Sector: A Way Forward -- The Future Healthcare Technologies: A Roadmap to Society 5.0 |
| Summary |
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 |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed March 17, 2022) |
| Subject |
Medical care -- Data processing
|
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Geographic information systems.
|
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Remote sensing.
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Artificial intelligence.
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Medical informatics.
|
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World health -- Geographic information systems
|
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Artificial intelligence -- Medical applications.
|
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Medical geography.
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Topography, Medical
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Remote Sensing Technology
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Artificial Intelligence
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remote sensing.
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artificial intelligence.
|
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Artificial intelligence -- Medical applications
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Medical geography
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World health
|
| Genre/Form |
Electronic books
|
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Geographic information systems
|
| Form |
Electronic book
|
| Author |
Garg, Pradeep K., editor.
|
|
Tripathi, Nitin Kumar, editor.
|
|
Kappas, M. (Martin), editor.
|
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Gaur, Loveleen, editor.
|
| ISBN |
9789811694769 |
|
9811694761 |
|
