Risk Factor Analysis to Patient Based on Fuzzy Logic Control System
M. Kavitha Mayilvaganan, K. Raja Rajeswari · 2014
Abstract — Fuzzy logic has proved in this paper, a medical fuzzy data is introduced in order to help users in providing accurate information when there is inaccuracy. Inaccuracy in data represents imprecise or vague values (like the words use in human conversation) or uncertainty in using the available information required for decision making handle the uncertainty of critical risk for human health. In this paper involved to diagnosis the health risk which is related to Blood Pressure, Pulse rate and Kidney function. The confusing nature of the symptoms makes it difficult for physicians using psychometric assessment tools alone to determine the risk of the disease. This paper describes research results in the development of a fuzzy driven system to determine the risk levels of health for the patients. The system is implemented and simulated using MATLAB fuzzy tool box.