Data-Driven Machine Learning Methods for Diabetes Risk Prediction
July 2022
in “
Sensors
”
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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