Medical Knowledge Graph: Data Sources, Construction, Reasoning, and Applications
Medical Knowledge Graph: Data Sources, Construction, Reasoning, and Applications
复制标题
医学知识图谱：数据源、构建、推理与应用
DOI：
10.26599/bdma.2022.9020021
复制
发表时间：
2023-06-01
影响因子：
13.6
通讯作者：
Li, Min
中科院分区：
文献类型：
--
作者：
Wu, Xuehong;Duan, Junwen;Li, Min
医学知识图（MKG）是智能医疗的基础，已被用于各种智能医疗应用。因此，了解MKG的研究和应用发展将是至关重要的，未来在生物医学领域的相关研究。为此，我们在这项工作中对MKG进行了深入的审查。我们的研究从检查四种类型的医疗信息源，知识图谱创建方法和MKG开发的六个主要主题开始。从知识推理的角度讨论了三种流行的推理模型。提出了一种推理实现路径（RIP）来表达MKG的推理过程。此外，我们还探讨了基于RIP和MKG的智能医疗应用，并将其分为九大类型。最后，我们根据130多篇出版物和未来的挑战和机遇，总结了MKG研究的现状。
Medical knowledge graphs (MKGs) are the basis for intelligent health care, and they have been in use in a variety of intelligent medical applications. Thus, understanding the research and application development of MKGs will be crucial for future relevant research in the biomedical field. To this end, we offer an in-depth review of MKG in this work. Our research begins with the examination of four types of medical information sources, knowledge graph creation methodologies, and six major themes for MKG development. Furthermore, three popular models of reasoning from the viewpoint of knowledge reasoning are discussed. A reasoning implementation path (RIP) is proposed as a means of expressing the reasoning procedures for MKG. In addition, we explore intelligent medical applications based on RIP and MKG and classify them into nine major types. Finally, we summarize the current state of MKG research based on more than 130 publications and future challenges and opportunities.