Overview of the application of knowledge graphs in the medical field.
10.7507/1001-5515.202204016
- Author:
Caiyun WANG
1
;
Zengliang ZHENG
1
;
Xiaoqiong CAI
1
;
Jihan HUANG
2
;
Qianmin SU
1
Author Information
1. College of Electrical and Electronic Engineering, Shanghai University Of Engineering Science, Shanghai 201620, P. R. China.
2. Center for Drug Clinical Research, Shanghai University of Chinese Medicine, shanghai 201203, P. R. China.
- Publication Type:Journal Article
- Keywords:
Assistant diagnosis;
Intelligent prediction;
Medical knowledge graph;
Wise medical
- MeSH:
Pattern Recognition, Automated;
Medical Informatics
- From:
Journal of Biomedical Engineering
2023;40(5):1040-1044
- CountryChina
- Language:Chinese
-
Abstract:
With the booming development of medical information technology and computer science, the medical services industry is gradually transiting from information technology to intelligence. The medical knowledge graph plays an important role in intelligent medical applications such as knowledge questions and answers and intelligent diagnosis, and is a key technology for promoting wise medical care and the basis for intelligent management of medical information. In order to fully exploit the great potential of knowledge graphs in the medical field, this paper focuses on five aspects: inter-drug relationship discovery, assisted diagnosis, personalized recommendation, decision support and intelligent prediction. The latest research progress on medical knowledge graphs is introduced, and relevant suggestions are made in light of the current challenges and problems faced by medical knowledge graphs to provide reference for promoting the wide application of medical knowledge graphs.
