A Uniform Intelligent Prioritisation for Solving Diverse and Big Data Generated from Multiple Chronic Diseases Patients Based on Hybrid Decision-Making and Voting Method

• Main Authors: Mohammed, K.I., Jaafar, J., Zaidan, A.A., Albahri, O.S., Zaidan, B.B., Abdulkareem, K.H., Jasim, A.N., Shareef, A.H., Baqer, M.J., Albahri, A.S., Alsalem, M.A., Alamoodi, A.H.
• Format: Article
• Published: Institute of Electrical and Electronics Engineers Inc. 2020
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085545743&doi=10.1109%2fACCESS.2020.2994746&partnerID=40&md5=6f70a7d9e3891238e37dc4c6afdb386b; http://eprints.utp.edu.my/23448/

Telemedicine is increasingly used in the modern health care system because it provides health care services to patients amidst distant locations. However, the prioritisation process for patients with multiple chronic diseases (MCDs) over telemedicine is becoming increasingly complex due to diverse a...