Saadial Razalli Bin Azzuhri

Explainable Machine Learning for Type 2 Diabetes Screening Using Shap Feature Attribution on NHANES 2017-2018 Data

Type 2 Diabetes Mellitus (T2DM) presents a critical public health challenge, particularly in Southeast Asian lowand middle-income countries where healthcare resources are constrained. This paper evaluates and compares two machine learning classifiers - Random Forest (RF) and XGBoost - for T2DM risk classification using...