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Titlebook: Geospatial Data Science in Healthcare for Society 5.0; Pradeep Kumar Garg,Nitin K. Tripathi,Loveleen Gaur Book 2022 The Editor(s) (if appl

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發(fā)表于 2025-3-21 19:10:59 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Geospatial Data Science in Healthcare for Society 5.0
編輯Pradeep Kumar Garg,Nitin K. Tripathi,Loveleen Gaur
視頻videohttp://file.papertrans.cn/385/384050/384050.mp4
概述Provides an overview of basic concepts of geospatial data and its integration with other technologies.Contains the most recent research analysis in the domain of computer vision and software engineeri
叢書名稱Disruptive Technologies and Digital Transformations for Society 5.0
圖書封面Titlebook: Geospatial Data Science in Healthcare for Society 5.0;  Pradeep Kumar Garg,Nitin K. Tripathi,Loveleen Gaur Book 2022 The Editor(s) (if appl
描述.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. Th
出版日期Book 2022
關(guān)鍵詞GIS; Geospatial Data Science; Society 5; 0; Spatial Data Analysis; Spatial Big Data Science; Geospatial An
版次1
doihttps://doi.org/10.1007/978-981-16-9476-9
isbn_softcover978-981-16-9478-3
isbn_ebook978-981-16-9476-9Series ISSN 2730-9061 Series E-ISSN 2730-907X
issn_series 2730-9061
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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發(fā)表于 2025-3-21 21:26:13 | 只看該作者
Geospatial Health Data Analytics for Society 5.0,us and non-infectious, can help understanding the dynamics of transmission and spatial determinants of the diseases. Geospatial data and associated techniques are used for improving the access to healthcare facilities, regardless of their socio-economic and geographic factors. The advances in geogra
板凳
發(fā)表于 2025-3-22 02:23:35 | 只看該作者
Relevance of Spatio-temporal Data Visualization Techniques in Healthcare System,th. Keeping this in view, they urged for a coherence and congruity of our living patterns with the natural environment as the laws of nature are but the mathematical thoughts of GOD. On the contrary, our living patterns have been changed drastically which is the root cause of preponderance of diseas
地板
發(fā)表于 2025-3-22 05:16:47 | 只看該作者
GIS and Remote Sensing for Public Health,raphic information science (GIS), global positioning system (GPS), remote sensing and computer-aided cartography, but also in geostatistical processes such as spatial distribution and trend analyses, Multi-level analyses, “spatial data mining” or agent-based modelling. These methods are increasingly
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發(fā)表于 2025-3-22 11:52:13 | 只看該作者
Infectious Disease and Their Tracking in GIS,utbreaks, epidemiology, consequences, and types are all thoroughly addressed. There is an overview of the numerous diagnostic methods used to detect the outbreak of various diseases here. This chapter explains how remote sensing and geospatial technology are widely employed to keep tabs on infectiou
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發(fā)表于 2025-3-22 15:48:05 | 只看該作者
Internet of Things in Healthcare,g using wearables, real-time monitoring using innovative implants, sensors fitted into medication like capsules, remote monitoring using telemedicine to medication adherence by periodic alerts and notifications. The IoT has numerous healthcare applications, from remote tracking using in-home medical
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發(fā)表于 2025-3-22 18:31:30 | 只看該作者
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發(fā)表于 2025-3-22 23:17:37 | 只看該作者
Geospatial Data in Health Insurance,, while the methodology is provided in the context of exceeding a threshold value. It is argued that the role of the threshold value might change to show spatial variability, while variability in time could apply to daily or seasonal variation. Aspects of global change may result in continuously cha
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發(fā)表于 2025-3-23 01:43:22 | 只看該作者
Epidemic Incidence Modeling and Forecasting Geospatially Using Machine Learning, oldest pandemics and still causing numerous deaths. Normally there is surge in the cases once the rainy season comes and it continues little over the rainy season. Normally multi-regression analysis-based empirical models have used to model the incidence and the rainfall, temperature, and relative
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發(fā)表于 2025-3-23 08:50:28 | 只看該作者
Connected and Smart Medical Devices,e but also increases the range of availability and accessibility to the general public. By going through some of the most prominent innovations in this field through the years and the spheres in which more work can be done, the current and future of creative healthcare both have been thoroughly expl
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