Advertisement

Browse Subject Areas

?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

An interpretable and balanced machine learning framework for Parkinson’s disease prediction using feature engineering and explainable AI

Fig 14

SHAP summary bar plot showing average feature importance.

PPE, Fo(Hz), D2, and spread2 were the most influential in the best model.

Fig 14

doi: https://doi.org/10.1371/journal.pone.0333418.g014