Overview of IoT and Machine Learning for E-Healthcare in Pandemics and Health Crises

Raza, Mohsin, Awais, Muhammad, Haider, Imran, Hadi, Muhammad Usman and Javed, Ehtasham (2021) Overview of IoT and Machine Learning for E-Healthcare in Pandemics and Health Crises. In: Data Science Advancements in Pandemic and Outbreak Management. Data Science Advancements in Pandemic and Outbreak Management . IGI Global, pp. 16-43. ISBN 9781799867364

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Abstract

The outbreak of COVID-19 has severely affected the healthcare infrastructure. The limitations of conventional healthcare urge the use of the digital technologies to lessen the overall load on the healthcare infrastructure and assist healthcare workers/staff. This chapter focuses on digital technologies to enable smart healthcare solutions to sustain and improve health services. The chapter focuses on two main driving technologies (internet of things [IoT] and artificial intelligence [AI]), pioneering automation and digitalization of healthcare. The enabling technologies possess the potential to transform the healthcare with emergence of new and novel research directions to realize and address healthcare needs. Therefore, it is essential to focus on key driving and complementing technologies to establish multidisciplinary research solutions with cross-platform design coupled with translational learning to unlock the potentials of next generation healthcare.

Item Type:	Book Section
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Cyber Intelligence and Networks
Related URLs:	http://services.igi-global.com/resolvedo...
Depositing User:	LivePure Connector
Date Deposited:	17 Jun 2025 14:30
Last Modified:	22 Jun 2025 06:31
URI:	https://ueaeprints.uea.ac.uk/id/eprint/99581
DOI:	10.4018/978-1-7998-6736-4.ch002

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