Medical Knowledge Graph: Data Sources, Construction, Reasoning, and Applications
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 en...
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| Format: | Article |
| Language: | English |
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Tsinghua University Press
2023-06-01
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| Series: | Big Data Mining and Analytics |
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| Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2022.9020021 |
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| author | Xuehong Wu Junwen Duan Yi Pan Min Li |
| author_facet | Xuehong Wu Junwen Duan Yi Pan Min Li |
| author_sort | Xuehong Wu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-e36bcad955204f4c80bfa8b5f7076a16 |
| institution | Kabale University |
| issn | 2096-0654 |
| language | English |
| publishDate | 2023-06-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | Big Data Mining and Analytics |
| spelling | doaj-art-e36bcad955204f4c80bfa8b5f7076a162025-02-02T05:26:53ZengTsinghua University PressBig Data Mining and Analytics2096-06542023-06-016220121710.26599/BDMA.2022.9020021Medical Knowledge Graph: Data Sources, Construction, Reasoning, and ApplicationsXuehong Wu0Junwen Duan1Yi Pan2Min Li3School of Computer Science and Engineering, Central South University, Changsha 410083, ChinaSchool of Computer Science and Engineering, Central South University, Changsha 410083, ChinaFaculty of Computer Science and Control Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518000, ChinaSchool of Computer Science and Engineering, Central South University, Changsha 410083, ChinaMedical 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.https://www.sciopen.com/article/10.26599/BDMA.2022.9020021medical knowledge graphknowledge graph constructionknowledge reasoningintelligent medical applicationsintelligent healthcare |
| spellingShingle | Xuehong Wu Junwen Duan Yi Pan Min Li Medical Knowledge Graph: Data Sources, Construction, Reasoning, and Applications Big Data Mining and Analytics medical knowledge graph knowledge graph construction knowledge reasoning intelligent medical applications intelligent healthcare |
| title | Medical Knowledge Graph: Data Sources, Construction, Reasoning, and Applications |
| title_full | Medical Knowledge Graph: Data Sources, Construction, Reasoning, and Applications |
| title_fullStr | Medical Knowledge Graph: Data Sources, Construction, Reasoning, and Applications |
| title_full_unstemmed | Medical Knowledge Graph: Data Sources, Construction, Reasoning, and Applications |
| title_short | Medical Knowledge Graph: Data Sources, Construction, Reasoning, and Applications |
| title_sort | medical knowledge graph data sources construction reasoning and applications |
| topic | medical knowledge graph knowledge graph construction knowledge reasoning intelligent medical applications intelligent healthcare |
| url | https://www.sciopen.com/article/10.26599/BDMA.2022.9020021 |
| work_keys_str_mv | AT xuehongwu medicalknowledgegraphdatasourcesconstructionreasoningandapplications AT junwenduan medicalknowledgegraphdatasourcesconstructionreasoningandapplications AT yipan medicalknowledgegraphdatasourcesconstructionreasoningandapplications AT minli medicalknowledgegraphdatasourcesconstructionreasoningandapplications |