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Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	März 2022
Genre:	Naturwissensch., Medizin, Technik
	Datenbanken / Datenmanagement / geospatialanalytics / GeospatialDataScience / GeospatialTechnologyinHealthcare / Gesundheitsfachberufe / GIS / Künstliche Intelligenz (KI) / Society5.0 / SpatialBigDataScience / SpatialDataAnalysis mehr...
ISBN:	9789811694752
EAN-Code:	9789811694752
Verlag:	Springer
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 241 mm / B 160 mm / D 23 mm
Gewicht:	718 gr
Seiten:	328
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.