Muhammad Kalamuddin Ahamad

A Comparative Evaluation of Various Machine Learning Techniques for Prediction of Type 2 Diabetes Mellitus

This research uses Machine Learning algorithms to evaluate the likelihood of Type 2 Diabetes Mellitus (T2DM) using lifestyle and family history data and presents a performance assessment of seven ML classifiers, showing that SVM achieved the highest accuracy and AUC, while LR, RF, and XGBoost also performed competitive...