An Intelligent Expert Based System Neural Network For The Diagnosis Of Type2 Diabetes Patients
نویسنده
چکیده
This paper presents an intelligent expert based system neural network for the diagnosis of Type 2 diabetes patients, given the variable, NPGNumber of times pregnant, PGL-Plasma Glucose concentration a 2 hours in an oral glucose tolerance test, DIA-Diastolic blood pressure(mmHg),TSF-Triceps skin fold thickness (mm), INS-2-Hour serum insulin (mu U/ml), BMI-Body mass index (weight in kg/(height in m)^2), DPF-Diabetes pedigree function, AGE-Age (years) , the variable diabet was classified by ANN as either present or not present, DiabetClass variable (0 or 1). In this study, general regression and neural network (GRNN) tools are applied to data sets they were investigated, the results are presented and discussed. Key WordsGRNN, Regression, data mining, blood sugar, diabetics
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