Intelligent disease prediction system based on medical knowledge graph

Abstract

The invention discloses an intelligent disease prediction system based on a medical knowledge graph, which comprises an entity extraction layer, an entity connection layer and a medical knowledge graph; the entity extraction layer is used for carrying out entity identification and relationship extraction on patient chief complaints and patient characteristics, and the medical knowledge graph consists of medical concepts, medical relationships and medical evidences; and the entity connection layer indexes, analyzes and scores from the medical knowledge graph according to the output result of the entity extraction layer to obtain a final prediction list. By combining the neural network and the medical knowledge graph, automatic identification and relationship extraction are performed on patient characteristics and patient main complaints, so that suspected diseases, recommended departments and recommended examination item lists with weights are obtained through analysis, intelligent triage prediction is achieved, the probability of wrong triage is reduced, efficient and convenient pre-diagnosis consultation is provided for patients, the burden of the patient and the hospital operation load are reduced, and efficient and accurate medical experience is brought to the patient.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to an intelligent disease prediction system based on a medical knowledge map. Background technique [0002] With the development of my country's medical system, the medical team and medical equipment are gradually improving, but the utilization rate of medical resources is still not ideal, especially before diagnosis: 1. It is difficult to register in tertiary hospitals, and the proportion of wrong numbers is large; 2. Health education The information is outdated and there is a lack of communication channels with doctors; it is precisely because of the asymmetry between patients' demands and medical information that inaccurate triage often occurs. Wrong triage will bring unnecessary troubles to patients and aggravate the situation. The original anxiety is not conducive to the improvement of hospital operation efficiency. Contents of the invention [0003] In order to solve the ab...

AI Technical Summary

Problems solved by technology

[0002] With the development of my country's medical system, the medical team and medical equipment are gradually improving, but the utilization rate of medical resources is still not ideal, especially before diagnosis: 1. It is difficult to register in tertiary hospitals, and the proportion of wrong numbers is large; 2. Health education The information is outdated and there is a lack of communication channels with doctors; it is precisely because of the asymmetry between patients' demands and medical information that inaccurate triage often occurs. Wrong triage will bring unnecessary troubles to patients and aggravate the situation. The original anxiety is not conducive to the improvement of hospital operation efficiency

Images