利用
知识图
计算机科学
医学知识
领域(数学)
知识管理
医疗信息
医疗保健
钥匙(锁)
数据科学
人工智能
医学
计算机安全
数学
纯数学
医学教育
家庭医学
作者
Caiyun Wang,Zengliang Zheng,Xiao-Qiong Cai,Jihan Huang,Qianmin Su
出处
期刊:PubMed
日期:2023-10-25
卷期号:40 (5): 1040-1044
标识
DOI:10.7507/1001-5515.202204016
摘要
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.随着医学信息技术与计算机科学的蓬勃发展,医疗服务行业逐渐从信息化向智慧化过渡。医学知识图谱在知识问答和智能诊断等智能医疗应用中发挥了重要作用,是推进智慧医疗的关键技术,也是医疗信息智能化管理的基础。为了充分发掘知识图谱在医学领域中的巨大潜力,本文从药物间关系发现、辅助诊断、个性化推荐、决策支持和智能预测这五个方面展开,介绍了医学知识图谱的最新研究进展,并结合当前医学知识图谱面临的挑战与问题提出相关建议,为推进医学知识图谱广泛应用提供参考。.
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