Fig. 5: Artificial intelligence classification model based on brain morphology and clinical features. | npj Parkinson's Disease

Fig. 5: Artificial intelligence classification model based on brain morphology and clinical features.

From: Unraveling morphological brain network disparities Parkinsonian tremor from essential tremor: an artificial intelligence approach for clinical differentiation

Fig. 5: Artificial intelligence classification model based on brain morphology and clinical features.

A Bar chart showing feature importance ranking for clinical variables. B Bar chart showing feature importance ranking for brain morphology and clinical variables. C Heatmap of AUC value from various machine learning models for predicting tremor type in test set. D The performance on external test set. RF random forest, SVM support vector machines, LASSO least absolute shrinkage and selection operator.

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