Prediction of Diabetes Mellitus and its Complications using Fuzzy Inference System
نویسندگان
چکیده
Diabetes is a life style disease, which can cause due to sedentary life style, physical inactivity and unbalanced diet. It occurs due to the body does not able to produce insulin or use it properly, which is required to convert the sugar into energy needed for daily life. Once diabetes diagnosed, it can’t be cured completely but with proper medicine, exercise and balanced diet it can be controlled effectively. There are serious complications of diabetes that affects major organs of the body such as heart, kidney, brain and eyes. The diagnosis of type-2 diabetes and its complication is determined using patients’ symptoms and various pathological tests like blood sugar, urine and lipid profile. The proposed system uses four Fuzzy Inference Systems (FIS) which gives risk for obesity, hypertension, type-2 diabetes/prediabetes, heart disease and chronic kidney disease. The output of these FIS and its related symptoms, risk factors, patients’ history together predict the above diseases. Keywords—Blood Glucose, CVD, Diabetes Mellitus, Diagnosis, Fuzzy Inference System, Prediabetes, Type-2 Diabetes.
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