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Global Healthcare Disasters : Predicting the Unpredictable with Emerging Technologies by Adarsh Garg, D. P. Goyal is a nonfiction available to read on EtoBox.

What is Global Healthcare Disasters : Predicting the Unpredictable with Emerging Technologies about?

"The recent COVID-19 global pandemic exemplifies the need for efficient, reliable, and real-time tools and technology for forecasting and predicting healthcare disasters as well as for helping to restrict subsequent spread and fatality of deadly diseases. This new book discusses many of the innovative and state-of-the-art tools and technology that can help meet the challenges of predicting such disasters. The chapters offer a plethora of useful information for designing healthcare disaster management systems that can be dynamically configurable with implementation of today’s modern technology, such as cloud computing, artificial intelligence, IoT, data analytics, and machine learning. These can increase effectiveness in remote sensing technologies, data analytics, data storage, communication networks, geographic information system (GIS), and global positioning System (GPS), to name a few. The book discusses mathematical models using graph-based approaches for analyzing dynamic, heterogeneous, and unstructured data for applications in epidemiology. The authors also address the use of mobile applications for communication efforts and remote monitoring for gauging health and the effec

Who reads Global Healthcare Disasters : Predicting the Unpredictable with Emerging Technologies?

Author

Adarsh Garg, D. P. Goyal

Publisher

Apple Academic Press, Incorporated

Published

2022

Language

EN

ISBN

9781000572810

Category

nonfiction

Subjects

Medical, Science, Engineering