مشخصات پژوهش

صفحه نخست /Real-Data Comparison of Data ...
عنوان
Real-Data Comparison of Data Mining Methods in Prediction of Diabetes in Iran
نوع پژوهش مقاله چاپ شده
کلیدواژه‌ها
Diabetes, Cluster Sampling, Data Mining, Support Vector Machine, Logistic Regression
چکیده
Diabetes is one of the most common non-communicable diseases in developing countries. Early screening and diagnosis play an important role in effective prevention strategies. This study compared two traditional classification methods (logistic regression and Fisher linear discriminant analysis) and four machine-learning classifiers (neural networks, support vector machines, fuzzy c-mean, and random forests) to classify persons with and without diabetes
پژوهشگران لیلی تاپاک (نفر اول)، حسین محجوب (نفر دوم)، جلال پورالعجل (نفر سوم)