METHOD AND APPARATUS FOR TRIAGE MODEL TRAINING BASED ON MEDICAL KNOWLEDGE GRAPHS, AND DEVICE

摘要

A method and an apparatus for triage model training based on medical knowledge graphs, and a device and a medium, relating to the field of smart solution applications of artificial intelligence technology. The method comprises: acquiring medical knowledge graphs, and using a graph neural network to perform representation learning on medical knowledge graphs to acquire graph symptom vectors (S201); acquiring a medical node set corresponding to a disease, the medical node set comprising symptoms, medications, and testing for a same disease, and using the graph neural network to perform representation learning on the medical node set to acquire node set association vectors of the association relationships between the symptoms, medications, and testing corresponding to a same disease (S202); acquiring training symptoms and departmental tags corresponding to the training symptoms, and on the basis of the training symptoms, filtering the node set association vectors to acquire target vectors corresponding to the training symptoms (S203); and using the graph symptom vectors, the training symptoms, the department tags corresponding to the training symptoms, and the target vectors to train a TextCNN model, to acquire a triage model (S204).