TRIAGE METHOD AND APPARATUS BASED ON NEURAL NETWORK MODEL, AND COMPUTER DEVICE

摘要

Provided are a triage method and apparatus based on a neural network model, and a computer device, relating to artificial intelligence. The method comprises: receiving disease information input by a person to be triaged (S1); using a pre-trained model BERT to carry out semantic coding on the disease information to obtain a disease code (S2); inputting the disease code into a preset BiLSTM+CRF sequence labeling model for calculation to obtain a standard symptom corresponding to the disease information (S3); and according to the standard symptom, obtaining triage information, and feeding the triage information back to said person (S4). When the method is executed, a pre-trained model BERT is used for semantic recognition, thereby improving the recognition accuracy for a standard disease, and also improving the understanding of the input spoken disease information. The pre-trained model BERT and the BiLSTM+CRF sequence labeling model can be stored in a blockchain network. According to the method, a human body medical knowledge graph is further provided for groups of people who cannot describe illness states, such as the elderly or children, etc., thereby avoiding the trouble of inputting text to a certain extent, and improving the availability thereof.