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Fig. 1 | BMC Medical Informatics and Decision Making

Fig. 1

From: Transformer-based deep neural network language models for Alzheimer’s disease risk assessment from targeted speech

Fig. 1

Overall classification procedure. The classification procedure consists of the steps of augmentation, splitting, embedding, classification, and voting, where augmentation is only used in the training phase. Also, when passing the entire transcript to the embedding layer, the splitting and voting layers are disabled. The underlined models are trainable here, and the others are fixed

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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