Recherche, 2022
Explainable AI for early-stage Parkinson's disease detection through gait sensor data.
Explainable ML · Digital Health
ML investigation with explainability focus for healthcare decision support.
Stack technique
XGBoostRandom ForestVAESHAPExplainable AI
Contexte
Machine learning investigation detecting early-stage Parkinson's disease through gait analysis data, with strong emphasis on model interpretability for clinical trust.
Points clés
- ●XGBoost + Random Forest + Neural Network comparison
- ●Variational Autoencoder for data augmentation
- ●SHAP explainability for clinical interpretability
Comment Frema Labs le met à votre service
Need a model a domain expert will actually trust? We pair strong predictors with SHAP explainability built for decision support.
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