Dhaka University Journal of Applied Science & Engineering

• Iffat Arefa
  Department of Electrical and Electronic Engineering, University of Dhaka, Dhaka, Bangladesh
• Abu Bakar Siddique
  Department of Electrical and Electronic Engineering, University of Dhaka, Dhaka, Bangladesh
• M. S. Alam
  Department of Electrical and Electronic Engineering, University of Dhaka, Dhaka, Bangladesh

This paper presents a fuzzy decision support system for risk prediction of hypertension. Risk factors relating to physiological, pathological and information about patients' lifestyle are considered to assess risk based on medical knowledge. To capture/utilize imprecise risk factors in a precise way, a fuzzy inference system is proposed where the rule-base is developed based on experts’ (cardiologists and consultants) knowledge in the problem domain. For tuning and testing the system, primary patient data are collected from a heart hospital in Bangladesh. The output risk scores of the decision support system are compared against decisions made by cardiologists as diagnosed from patients’ record. The results demonstrate that the proposed fuzzy decision support system is capable of predicting the risk of hypertension with sufficient accuracy

1. S. S. Davidson, D. E. Newby, N. R. Grubb, "Cardiology", in S. H. Ralston, Ian D. Penman, W. Mark, J. Strachan, and R. P. Hobson, Davidson‟s Principles and Practice of Medicine, Elsevier, 441-544, 2018