(Disruptive Technologies and Digital Transformations for Society 5.0) 1st ed. 2022 Edition
by Pradeep Kumar Garg (Editor), Nitin K. Tripathi (Editor), Martin Kappas (Editor), Loveleen Gaur (Editor)
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.
