چکیده مقاله
Diabetes is a disease that is caused by high blood sugar levels The various traditional methods available for diagnosing diabetes are based on physical and chemical tests These methods can have errors due to various uncertainties For statistical classification of diabetes, we used a data set that includes 768 samples patients and 8 features were examined And we used the bagging algorithm to implement The combining classification algorithm combines several classifications In fact, these classifiers each build their own model on the data and store this model Finally, for classification, a vote is taken among these categories, and the class that gets the most votes is the final class Using this algorithm, we were able to increase the accuracy of diabetes classification by 75 39%
کلیدواژهها
نویسندگان
sadegh moshrefzadeh
Omid Rahmani secret Assistant Professor
Omid Rahmani secret
Assistant Professor
شیوه ارجاع
moshrefzadeh, sadegh and Rahmani secret, Omid,1400,Diagnosis of diabetes using Bagging algorithm,8th National Congress of Electrical and Computer Engineering of Iran,Tehran
ارائهشده در
مجموعه مقالات هشتمین کنگره ملی تازه های مهندسی برق و کامپیوتر ایران28 بهمن 1400 · تهران