STEP-PD applies XGBoost to multimodal PPMI clinical data for three-class PD severity staging with 94.14% accuracy and SHAP explanations highlighting a shift from motor to balance impairments.
A review of machine learning and deep learning algorithms for parkinson’s disease detection using handwriting and voice datasets,
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STEP-PD: Stage-Aware and Explainable Parkinson's Disease Severity Classification Using Multimodal Clinical Assessments
STEP-PD applies XGBoost to multimodal PPMI clinical data for three-class PD severity staging with 94.14% accuracy and SHAP explanations highlighting a shift from motor to balance impairments.