Diabetes Prediction Using Colab Notebook Based Machine Learning Methods

YAKUT, Önder

doi:10.22399/ijcesen.1185474

Diabetes Prediction Using Colab Notebook Based Machine Learning Methods

Önder YAKUT (Kocaeli Üniversitesi, Teknoloji Fakültesi, Bilişim Sistemleri Mühendisliği Bölümü, Kocaeli, Türkiye)

International Journal of Computational and Experimental Science and Engineering

81 0

Yıl: 2023 Cilt: 9 Sayı: 1 Sayfa Aralığı: 36 - 41 Metin Dili: İngilizce DOI: 10.22399/ijcesen.1185474 İndeks Tarihi: 02-07-2023

Diabetes Prediction Using Colab Notebook Based Machine Learning Methods

Öz:

Diabetes is getting more and more common around the world. People suffer from diabetes or live at risk associated with this disease. It is necessary to prevent health problems caused by diabetes, to reduce the risk of diabetes and to reduce a load of diabetes on the health system. Therefore, it is important to diagnose and treat diabetic patients early. In this study, Pima Indian Diabetes (PID) database was used to predict diabetes. Random Forest Classifier, Extra Tree Classifier and Gaussian Process Classifier machine learning methods have been used to predict whether individuals have diabetes or not. In this study, the method with the highest prediction accuracy was determined as the Random Forest Classifier. The accuracy of the recommended method was 81.71%. The proposed method was developed to assist clinicians in predicting diabetic patients using diagnostic measurements. The machine learning methods developed in this study were applied using Colab Notebook a Google Cloud Computing service.

Anahtar Kelime: Cloud Computing Diabetes Prediction Google Colaboratory Machine Learning

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

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APA	YAKUT Ö (2023). Diabetes Prediction Using Colab Notebook Based Machine Learning Methods. , 36 - 41. 10.22399/ijcesen.1185474
Chicago	YAKUT Önder Diabetes Prediction Using Colab Notebook Based Machine Learning Methods. (2023): 36 - 41. 10.22399/ijcesen.1185474
MLA	YAKUT Önder Diabetes Prediction Using Colab Notebook Based Machine Learning Methods. , 2023, ss.36 - 41. 10.22399/ijcesen.1185474
AMA	YAKUT Ö Diabetes Prediction Using Colab Notebook Based Machine Learning Methods. . 2023; 36 - 41. 10.22399/ijcesen.1185474
Vancouver	YAKUT Ö Diabetes Prediction Using Colab Notebook Based Machine Learning Methods. . 2023; 36 - 41. 10.22399/ijcesen.1185474
IEEE	YAKUT Ö "Diabetes Prediction Using Colab Notebook Based Machine Learning Methods." , ss.36 - 41, 2023. 10.22399/ijcesen.1185474
ISNAD	YAKUT, Önder. "Diabetes Prediction Using Colab Notebook Based Machine Learning Methods". (2023), 36-41. https://doi.org/10.22399/ijcesen.1185474

APA	YAKUT Ö (2023). Diabetes Prediction Using Colab Notebook Based Machine Learning Methods. International Journal of Computational and Experimental Science and Engineering, 9(1), 36 - 41. 10.22399/ijcesen.1185474
Chicago	YAKUT Önder Diabetes Prediction Using Colab Notebook Based Machine Learning Methods. International Journal of Computational and Experimental Science and Engineering 9, no.1 (2023): 36 - 41. 10.22399/ijcesen.1185474
MLA	YAKUT Önder Diabetes Prediction Using Colab Notebook Based Machine Learning Methods. International Journal of Computational and Experimental Science and Engineering, vol.9, no.1, 2023, ss.36 - 41. 10.22399/ijcesen.1185474
AMA	YAKUT Ö Diabetes Prediction Using Colab Notebook Based Machine Learning Methods. International Journal of Computational and Experimental Science and Engineering. 2023; 9(1): 36 - 41. 10.22399/ijcesen.1185474
Vancouver	YAKUT Ö Diabetes Prediction Using Colab Notebook Based Machine Learning Methods. International Journal of Computational and Experimental Science and Engineering. 2023; 9(1): 36 - 41. 10.22399/ijcesen.1185474
IEEE	YAKUT Ö "Diabetes Prediction Using Colab Notebook Based Machine Learning Methods." International Journal of Computational and Experimental Science and Engineering, 9, ss.36 - 41, 2023. 10.22399/ijcesen.1185474
ISNAD	YAKUT, Önder. "Diabetes Prediction Using Colab Notebook Based Machine Learning Methods". International Journal of Computational and Experimental Science and Engineering 9/1 (2023), 36-41. https://doi.org/10.22399/ijcesen.1185474