Geospatial Data Science In Healthcare For Society 50

Download Geospatial Data Science In Healthcare For Society 50 full books in PDF, epub, and Kindle. Read online free Geospatial Data Science In Healthcare For Society 50 ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Geospatial Data Science in Healthcare for Society 5.0

Geospatial Data Science in Healthcare for Society 5.0
Author :
Publisher : Springer Nature
Total Pages : 321
Release :
ISBN-10 : 9789811694769
ISBN-13 : 9811694761
Rating : 4/5 (761 Downloads)

Book Synopsis Geospatial Data Science in Healthcare for Society 5.0 by : Pradeep Kumar Garg

Download or read book Geospatial Data Science in Healthcare for Society 5.0 written by Pradeep Kumar Garg and published by Springer Nature. This book was released on 2022-03-10 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Geospatial Data Science in Healthcare for Society 5.0 Related Books

Geospatial Data Science in Healthcare for Society 5.0
Language: en
Pages: 321
Authors: Pradeep Kumar Garg
Categories: Computers
Type: BOOK - Published: 2022-03-10 - Publisher: Springer Nature

DOWNLOAD EBOOK

The book introduces a variety of latest techniques designed to represent, enhance, and empower multi-disciplinary approaches of geographic information system (G
Advances in Computational Intelligence for the Healthcare Industry 4.0
Language: en
Pages: 389
Authors: Shah, Imdad Ali
Categories: Medical
Type: BOOK - Published: 2024-04-26 - Publisher: IGI Global

DOWNLOAD EBOOK

In the dynamic environment of healthcare, the fusion of Computational Intelligence and Healthcare Industry 4.0 has enabled remarkable advancements in disease de
Explainable Artificial Intelligence for Intelligent Transportation Systems
Language: en
Pages: 103
Authors: Loveleen Gaur
Categories: Computers
Type: BOOK - Published: 2022-08-08 - Publisher: Springer Nature

DOWNLOAD EBOOK

Transportation typically entails crucial “life-death” choices, delegating crucial decisions to an AI algorithm without any explanation poses a serious threa
Geographic Information, Geospatial Technologies and Spatial Data Science for Health
Language: en
Pages: 394
Authors: Justine Blanford
Categories: Mathematics
Type: BOOK - Published: 2024-08-20 - Publisher: CRC Press

DOWNLOAD EBOOK

Geographic information, spatial analysis and geospatial technologies play an important role in understanding changes in planetary health and in defining the dri
Geospatial Data Science Techniques and Applications
Language: en
Pages: 283
Authors: Hassan A. Karimi
Categories: Computers
Type: BOOK - Published: 2017-10-24 - Publisher: CRC Press

DOWNLOAD EBOOK

Data science has recently gained much attention for a number of reasons, and among them is Big Data. Scientists (from almost all disciplines including physics,