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Fig. 3 | Journal of NeuroEngineering and Rehabilitation

Fig. 3

From: Prediction of dysphagia aspiration through machine learning-based analysis of patients’ postprandial voices

Fig. 3

The pre-trained models demonstrated higher performance compared to the non-pre-trained models. Among the four models, the mn30_as (pre-trained model) performed the best on average in combined model and male model. However, for the female model, the mn4.0 (non-pre-trained model) was the best on average. The ROC curve was plotted, and the AUC (Area Under the Curve) was calculated

ROC curve for each prediction model.

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