Triage method, device and equipment based on medical knowledge graph and a storage medium

Abstract

The invention discloses a triage method, device and equipment based on a medical knowledge graph and a storage medium. The method comprises the steps of receiving disease description statements inputby a user; performing character encoding on the statement by using a pre-trained BERT model to generate a word vector, and decoding the word vector by using a BILSTM model and a CRF model to obtain adisease entity; linking the disease entities to standard disease entities in a knowledge graph by using an entity linking algorithm; vectorizing the standard symptom entity text, inputting the vectorized standard symptom entity text into a pre-trained XGBoost classification model based on a medical knowledge graph, and taking a model output result as a recommended doctor-seeing department; and returning the recommended doctor-seeing department to the user. According to the method, the main complaint of the user is directly regarded as the serialized text, the XGBoost classification model is adopted for classification, the classification result is the recommended doctor-seeing department, the trouble brought by multiple rounds of input of the user is reduced, the use experience is good, theadvantages in the aspect of spoken language recognition are obvious, and the triage result is accurate.

Description

technical field [0001] The present application relates to the field of intelligent decision-making, in particular to a triage method, device, equipment and storage medium based on medical knowledge graphs. Background technique [0002] The traditional way of triage in the hospital is to set up a triage table. Patients who do not understand the classification of the hospital's departments or their symptoms can go to the triage table to consult the staff. However, when patients consult with the staff, on the one hand, patients usually can only express their condition in colloquial terms and cannot use medical terminology; It is difficult to guarantee the accuracy of the recommended departments, and the efficiency of this method is low, and the labor cost is relatively high. [0003] The inventor found that there are already some intelligent triage products on the market, such as diagnostic guidance robots and triage application programs, etc., but in the actual use experience...

AI Technical Summary

Problems solved by technology

[0004] The main purpose of this application is to provide a triage method, device, equipment, and storage medium based on medical knowledge graphs, aiming to solve the problem of lengthy interaction between current triage products and users, poor colloquial symptom recognition, and poor guidance. technical issues

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