Application of Medical Knowledge Graphs in Cardiology and Cardiovascular Medicine: A Brief Literature Review

doi:10.1007/s12325-022-02254-7

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 互联网大数据与安全信息学研究中心

	Application of Medical Knowledge Graphs in Cardiology and Cardiovascular Medicine: A Brief Literature Review
	Wang, Hong 4,5; Zu, Quannan 3; Lu, Ming 3; Chen, Rongfa 2; Yang, Zhiren 2; Gao, Yongqiang 5; Ding, Jiawang 1
刊名	ADVANCES IN THERAPY
	2022-07-30
页码	9
关键词	Medical knowledge graphs Advances in therapy Cardiology Cardiovascular diseases Artificial intelligence
ISSN号	0741-238X
DOI	10.1007/s12325-022-02254-7
通讯作者	Wang, Hong(iriswh2014@163.com)
英文摘要	A knowledge graph is defined as a collection of interlinked descriptions of concepts, relationships, entities and events. Medical knowledge graphs have been the most recent advances in technology, therapy and medicine. Nowadays, a number of specific uses and applications rely on knowledge graphs. The application of the knowledge graph, another form of artificial intelligence (AI) in cardiology and cardiovascular medicine, is a new concept, and only a few studies have been carried out on this particular aspect. In this brief literature review, the use and importance of disease-specific knowledge graphs in exploring various aspects of Kawasaki disease were described. A vision of individualized knowledge graphs (iKGs) in cardiovascular medicine was also discussed. Such iKGs would be based on a modern informatics platform of exchange and inquiry that could comprehensively integrate biologic knowledge with medical histories and health outcomes of individual patients. This could transform how clinicians and scientists discover, communicate and apply new knowledge. In addition, we also described how a study based on the comprehensive longitudinal evaluation of dietary factors associated with acute myocardial infarction and fatal coronary heart disease used a knowledge graph to show the dietary factors associated with cardiovascular diseases in Nurses' Health Study data. To conclude, in this fast-developing world, medical knowledge graphs have emerged as attractive methods of data storage and hypothesis generation. They could be a major and effective tool in cardiology and cardiovascular medicine and play an important role in reaching effective clinical decisions during treatment and management of patients in the cardiology department.
资助项目	Guangxi Key Research and Development Program ; Guangxi Medical and Health Appropriate Technology Development and Promotion Application Project[S2017077] ; Guangxi Nanning Qingxiu District Science and Technology Development Project[2014S06]
WOS研究方向	Research & Experimental Medicine ; Pharmacology & Pharmacy
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000833512400002
资助机构	Guangxi Key Research and Development Program ; Guangxi Medical and Health Appropriate Technology Development and Promotion Application Project ; Guangxi Nanning Qingxiu District Science and Technology Development Project
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/49746]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_互联网大数据与安全信息学研究中心
通讯作者	Wang, Hong
作者单位	1.Beijing Chaoyang Hosp, Dept Internal Med, Beijing 100020, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.Tianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China 4.Jinan Univ, Guangzhou 510632, Guangdong, Peoples R China 5.Peoples Hosp Guangxi Zhuang Autonomous Reg, Dept Cardiol, Nanning 530021, Guangxi, Peoples R China
推荐引用方式 GB/T 7714	Wang, Hong,Zu, Quannan,Lu, Ming,et al. Application of Medical Knowledge Graphs in Cardiology and Cardiovascular Medicine: A Brief Literature Review[J]. ADVANCES IN THERAPY,2022:9.
APA	Wang, Hong.,Zu, Quannan.,Lu, Ming.,Chen, Rongfa.,Yang, Zhiren.,...&Ding, Jiawang.(2022).Application of Medical Knowledge Graphs in Cardiology and Cardiovascular Medicine: A Brief Literature Review.ADVANCES IN THERAPY,9.
MLA	Wang, Hong,et al."Application of Medical Knowledge Graphs in Cardiology and Cardiovascular Medicine: A Brief Literature Review".ADVANCES IN THERAPY (2022):9.