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Fig. 3 | Alzheimer's Research & Therapy

Fig. 3

From: Detection of dementia on voice recordings using deep learning: a Framingham Heart Study

Fig. 3

Receiver operating characteristic (ROC) and precision-recall (PR) curves of the deep learning models. The long short-term memory (LSTM) network and the convolutional neural network (CNN) models were constructed to classify participants with normal cognition and dementia as well as participants who are non-demented and the ones with dementia, respectively. On each model, a 5-fold cross-validation was performed and the model predictions (mean ± standard deviation) were generated on the test data (see Figure S1), followed by the creation of the ROC and PR curves. Plots A and B denote the ROC and PR curves for the LSTM and the CNN models for the classification of normal versus demented cases. Plots C and D denote the ROC and PR curves for the LSTM and CNN models for the classification of non-demented versus demented cases

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