A model-based feature selection approach for type 2 Diabetes Mellitus diagnosis using Heart Rate and Systolic Arterial Pressure series measures
A model-based feature selection approach for type 2 Diabetes Mellitus diagnosis using Heart Rate and Systolic Arterial Pressure series measures
J. Roca-Pardiñas,M. J. Lado,L. Rodríguez-Liñares
2026 · DOI: 10.1007/s11222-026-10877-x
Statistics and computing · 0 Citations
TLDR
A novel feature selection method based on logistic Generalized Additive Models (GAMs) is proposed, which is applied to data from a clinical study aimed at diagnosing Type 2 Diabetes Mellitus (T2DM), distinguishing between diabetic and healthy individuals.