Quantitative Evaluation of Mental-Health in Type-2 Diabetes Patients Through Computational Model
Fawaz Alassery, Ahmed Alzahrani, Asif Irshad Khan, Ashi Khan, Mohd Nadeem, Md Tarique Jamal Ansari
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.