Application Of Supervised Machine Learning Algorithms For Classification And Prediction Of Type-2 Diabetes Disease Status In Afar Regional State, Northeastern Ethiopia 2021

This study aimed to extract hidden and critical knowledge by applying supervised machine learning algorithms for classification and prediction of type-2 diabetic disease status in public hospitals of Afar regional state Northeastern Ethiopia in 2021. A retrospective cross-sectional study design using medical database and medical chart record review was used, with all hospital clients who ever diagnosed or will be diagnosed and/or suspected for type-2 diabetes in public hospitals of Afar regional state included. The results of the study could help facilitate diagnostic activity with suggestive and informative diagnostic results, as well as lead to early intervention and avoidance of unwanted catastrophic diagnostic cost and immediate management for prevention of morbidity and further complications of type-2 diabetes.