Explainable machine learning of plantar-force gait biomarkers for Hoehn–Yahr staging in Parkinson’s disease
This study presents an explainable machine-learning framework utilizing plantar-force gait biomarkers and ordinal modeling to achieve high-accuracy, objective staging of Parkinson's disease severity across Hoehn–Yahr stages 2.0 to 3.0 while identifying key interpretable gait features such as double-support phase and bilateral asymmetry.