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Fig 1.

The whole process in the present study.

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Fig 2.

An illustration of the difference between audio-based prediction and participant-based prediction.

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Table 1.

Parameter values in each model.

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Table 1 Expand

Table 2.

Descriptive statistics of demographic and vocal data for participants of each group.

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Table 2 Expand

Fig 3.

Receiver operating characteristic (ROC) curves in the models for predicting AD.

RF = Random Forest; XGBoost = Extreme Gradient Boosting; LR = Logistic Regression.

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Fig 3 Expand

Table 3.

Predictive performance of the models built for each audio file for predicting AD.

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Table 3 Expand

Table 4.

Predictive performance of the models built for each participant for predicting AD.

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Table 4 Expand