Diabetes is a lifelong disease that has undesirable effects on various organs, such as long-term organ damage, functional disorder, and finally failure of the organ. Diabetes must be treated under the supervision of a doctor. Diabetes is known as a disease that can be seen in many people today and is becoming widespread due to life conditions. If a person with diabetes does not receive any treatment at an early stage, the patient's body can react with serious complications. In addition to the medical methods used in the diagnosis of diabetes, this disease can be detected by an artificial intelligence approach. This research aims to establish the most influential variable among the many variables causing diabetes and to design a model that will predict diabetes to help doctors analyze the disease with selected machine learning methods. In this study, Decision Tree, Bagging with Decision Tree, Random Forest and Extra Tree algorithms were used for the proposed model and the highest accuracy values were obtained with the Extra Trees algorithm with 99.2%.
Bagging Extra trees Decision tree Diabetes mellitus Random forest
Birincil Dil | İngilizce |
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Konular | Bilgisayar Yazılımı |
Bölüm | Research Articles |
Yazarlar | |
Erken Görünüm Tarihi | 7 Mayıs 2023 |
Yayımlanma Tarihi | 15 Nisan 2023 |
Gönderilme Tarihi | 14 Ekim 2022 |
Kabul Tarihi | 9 Nisan 2023 |
Yayımlandığı Sayı | Yıl 2023 Cilt: 7 Sayı: 1 |