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

• Main Authors: Miah, Md Saef Ullah, Sarwar, Talha, Islam, Saima Sharleen, Haque, Md Samiul, Masuduzzaman, Md, Bhowmik, Abhijit
• Format: Conference or Workshop Item
• Language: English; English
• Published: Institute of Electrical and Electronics Engineers Inc. 2022
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software; T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/39429/1/An%20adaptive%20Medical%20Cyber-Physical%20System%20for%20post%20diagnosis.pdf; http://umpir.ump.edu.my/id/eprint/39429/2/An%20adaptive%20medical%20cyber-physical%20system%20for%20post%20diagnosis%20patient%20care%20using%20cloud%20computing%20and%20machine%20learning%20approach_ABS.pdf; http://umpir.ump.edu.my/id/eprint/39429/; https://doi.org/10.1109/INCET54531.2022.9824032

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...