Data-Driven Machine Learning Methods for Diabetes Risk Prediction

    July 2022 in “ Sensors ”
    Ηλίας Δρίτσας, Μαρία Τρίγκα
    Studysummary In this study, researchers evaluated various machine learning models for predicting type 2 diabetes risk, finding that Random Forest and K-NN models performed best in terms of precision, recall, accuracy, and other metrics using common symptoms as features.
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    Research cited in this study 1

    1. Association of Androgenetic Alopecia With Mortality From Diabetes Mellitus and Heart Disease JAMA Dermatology · 2013