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Quantitative Evaluation of Mental-Health in Type-2 Diabetes Patients Through Computational Model

Fawaz Alassery1, Ahmed Alzahrani2, Asif Irshad Khan2, Ashi Khan3,*, Mohd Nadeem4, Md Tarique Jamal Ansari4
1 Department of Computer Engineering, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia
2 Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, 21589, Saudi Arabia
3 Department of Zoology, Dr. Ram Manohar Lohiya Avadh University, Faizabad, 224001, India
4 Department of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow, 226025, India
* Corresponding Author: Ashi Khan. Email:

Intelligent Automation & Soft Computing 2022, 32(3), 1701-1715. https://doi.org/10.32604/iasc.2022.023314

Received 03 September 2021; Accepted 12 October 2021; Issue published 09 December 2021

Abstract

A large number of people live in diabetes worldwide. Type-2 Diabetes (D2) accounts for 92% of patients with D2 and puts a huge burden on the healthcare industry. This multi-criterion medical research is based on the data collected from the hospitals of Uttar Pradesh, India. In recent times there is a need for a web-based electronic system to determine the impact of mental health in D2 patients. This study will examine the impact assessment in D2 patients. This paper used the integrated methodology of Fuzzy Analytic Hierarchy (FAHP) and Fuzzy Technique for Order Performance by Similarity to Ideal Solution (FTOPSIS). The FAHP determines the impact of factors, which is classified by two levels. The first levels have three factors; Body Mass Index (BMI), Systolic Blood Pressure (SBP), and Diastolic Blood Pressure (DBP). The second level, selects the factors-age, weight, height, exercise (50 to 70 min), and mental health. Furthermore, the alternatives are hospitals A1 to A6. The authors gather the data from the hospitals in different places of state Uttar Pradesh, India. The FTOPSIS approach determines the rank of alternatives. The integrated model shows the applicability and impact of data on mental health in D2 patients. This study explains the complexity of the D2 patient's condition. The multi-criterion medical research is compared with some existing methods, which confirms the strength and stability of the proposed FAHP and FTOPSIS methodology.

Keywords

Diabetes; fuzzy AHP; fuzzy TOPSIS; BMI; SBP; DBP

Cite This Article

F. Alassery, A. Alzahrani, A. Irshad Khan, A. Khan, M. Nadeem et al., "Quantitative evaluation of mental-health in type-2 diabetes patients through computational model," Intelligent Automation & Soft Computing, vol. 32, no.3, pp. 1701–1715, 2022.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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