Fig. 1From: Automatic medical specialty classification based on patients’ description of their symptomsThe overall architecture of the Hybrid methods, HyM, including TF-IDF, BERT, LSTM and TEXT-CNN, are applied to extract the features at different levels from the symptom texts. The features are concatenated and fed into a fully connected neural network for classificationBack to article page