An adaptive medical cyber-physical system for post diagnosis patient care using cloud computing and machine learning approach

Miah, Md Saef Ullah and Sarwar, Talha and Islam, Saima Sharleen and Haque, Md Samiul and Masuduzzaman, Md and Bhowmik, Abhijit (2022) An adaptive medical cyber-physical system for post diagnosis patient care using cloud computing and machine learning approach. In: 2022 3rd International Conference for Emerging Technology, INCET 2022 , 27-29 May 2022 , Belgaum. pp. 1-6. (180997). ISBN 978-166549499-1

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Abstract

Medical care is one of the most basic human needs. Due to the global shortage of doctors, nurses, and other healthcare personnel, medical cyber-physical systems are quickly becoming a viable option. Post-diagnosis surveillance is an essential application of these systems, which can be performed more successfully using various monitoring devices rather than active observation by nurses in their physical presence. However, most existing solutions for this application are rigid and do not consider current difficulties. Intelligent and adaptive systems can overcome the challenges because of the advances in relevant technology, especially healthcare 4.0. Therefore, this work presents an adaptive system based on cloud and edge computing architecture and machine learning approaches to perform post-diagnosis medical tasks on patients, thus reducing the need for nurses, especially in the post-diagnosis phase.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Cyber physical system; Healthcare 4.0; Medical cyber physical system
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General)
Faculty/Division:	Institute of Postgraduate Studies College of Engineering Faculty of Computing
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	29 Nov 2023 04:25
Last Modified:	29 Nov 2023 04:25
URI:	http://umpir.ump.edu.my/id/eprint/39429
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