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

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

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...

Full description

Bibliographic Details
Main Authors: K. I. Mohammed, Jafreezal Jaafar, A. A. Zaidan, O. S. Albahri, B. B. Zaidan, Karrar Hameed Abdulkareem, Ali Najm Jasim, Ali. H. Shareef, M. J. Baqer, A. S. Albahri, M. A. Alsalem, A. H. Alamoodi
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Telemedicine
prioritisation
chronic disease
big data
intelligent
decision-making
Online Access:https://ieeexplore.ieee.org/document/9093811/

Internet

https://ieeexplore.ieee.org/document/9093811/

Similar Items