Description
Book SynopsisThe 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.
Table of Contents1. Geospatial data science in healthcare: Literature Survey
2. Geomatics tools and techniques to collect and analyse geospatial data
4. Big data and cloud computing support in health informatics
5. Hospital records management using cloud technology
6. Relevance of spatio-temporal data visualisation techniques in health science
7. GIS in public health for a futuristic society
8. Infectious diseases and their tracking in GIS
9. Wearable technology in healthcare
10. Health intelligence using AI and data science
11.IoT empowered smart health cities
12.ICT for real-time health monitoring
13. Role of ICT in telemedicines
14. Low cost device for healthcare
15. Geospatial data in health insurance
16. Role of social media in healthcare
17. Issues and challenge in healthcare using geospatial big data
