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Medical Knowledge Graph:Data Sources,Construction,Reasoning,and Applications

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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.

medical knowledge graphknowledge graph constructionknowledge reasoningintelligent medical applicationsintelligent healthcare

Xuehong Wu、Junwen Duan、Yi Pan、Min Li

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School of Computer Science and Engineering,Central South University,Changsha 410083,China

School of Computer Science,Hunan First Normal University,Changsha 410006,China

Faculty of Computer Science and Control Engineering,Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen 518000,China

National Key Research and Development Program of ChinaNational Natural Science Foundation of ChinaScience and Technology Innovation Program of Hunan Province

2021YFF1201200620062512021RC4008

2023

10.26599/BDMA.2022.9020021

大数据挖掘与分析(英文版)

大数据挖掘与分析(英文版)

CSCDEI
ISSN：
年,卷(期)：2023.6(2)
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