Medical Condition Monitoring System Using Fuzzy Logic

Due to uncertainty and vagueness in the medical field., and day by day increase in the number of patients, an effective control system is needed to minimize practitioner uncertainty and vagueness and maximize its diagnostic solution. In order to better diagnose the disease, medical examinations are of greater importance to practitioners in identifying diseases and their stages. In this study, we proposed an efficient and robust system that can process different input values generated by different clinical tests and provide highly reliable outputs that must be used for medical diagnosis and decision making. For this reason, fuzzy logic is the best choice because it is very simple to design and implement and it is exceptionally efficient. The proposed system will use its medical test report data to process four different diseases that will be used as input to the system. The following are four medical diagnostic tests: 1. Blood pressure levels, 2. Diabetes, 3. Lipid distribution and 4. Liver function tests. MATLAB simulations are generated using MATLAB R2016b toolbox and implementation is done in Visual Studio 2015 using C# for the assumed values of clinical tests. The simulated results are almost identical with the designed model and the relative errors are in the acceptable range.