Using Machine Learning Algorithms For Prediction Of Diabetes Mellitus

Aeshah Saad Alanazi, Mohd A. Mezher

20202020 International Conference on Computing and Information Technology (ICCIT-1441)30 citationsDOI

Abstract

Diabetes is a chronic disease. The risk of diabetes is increasing so fast, destroying human health. The proposed model combines two algorithms of machine learning algorithms and these algorithms are Support Vector Machine and Random Forest to predict the diabetes. Using a real dataset collected from Security Force Primary Health Care. The proposed model achieved 98% of accuracy, ROC 99%. The result shows that Random Forest algorithm is has better accuracy score when compared to Support Vector Machine.

Topics & Concepts

Random forestSupport vector machineMachine learningComputer scienceAlgorithmArtificial intelligenceDiabetes mellitusStatistical classificationMedicineEndocrinologyArtificial Intelligence in HealthcareImbalanced Data Classification TechniquesAI in cancer detection