Intelligent emotion and sensory remote prioritisation for patients with multiple chronic diseases

Alamoodi, Abdullah Hussein and Albahri, O. S. and Zaidan, A. A. and Alsattar, Hassan A. and Zaidan, Bilal Bahaa and Albahri, A. S. and Ismail, Amelia Ritahani and Kou, Gang and Alzubaidi, Laith and Talal, Mohammed (2023) Intelligent emotion and sensory remote prioritisation for patients with multiple chronic diseases. Sensors, 23 (4). pp. 1-14. ISSN 1424-8220

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Abstract

An intelligent remote prioritization for patients with high-risk multiple chronic diseases is proposed in this research, based on emotion and sensory measurements and multi-criteria decision making. The methodology comprises two phases: (1) a case study is discussed through the adoption of a multi-criteria decision matrix for high-risk level patients; (2) the technique for reorganizing opinion order to interval levels (TROOIL) is modified by combining it with an extended fuzzy-weighted zero- inconsistency (FWZIC) method over fractional orthotriple fuzzy sets to address objective weighting issues associated with the original TROOIL. In the first hierarchy level, chronic heart disease is identified as the most important criterion, followed by emotion-based criteria in the second. The third hierarchy level shows that Peaks is identified as the most important sensor-based criterion and chest pain as the most important emotion criterion. Low blood pressure disease is identified as the most important criterion for patient prioritization, with the most severe cases being prioritized. The results are evaluated using systematic ranking and sensitivity analysis.

Item Type:	Article (Journal)
Uncontrolled Keywords:	emotion criteria; multi-chronic diseases; multi-criteria decision making; patients prioritisation; sensor criteria
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Amelia Ritahani Ismail
Date Deposited:	27 Jul 2023 10:44
Last Modified:	27 Jul 2023 10:49
URI:	http://irep.iium.edu.my/id/eprint/105792

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