MeKG: building a medical knowledge graph by data mining from MEDLINE

Pham, Thuan ORCID: https://orcid.org/0000-0001-7433-858X and Tao, Xiaohui ORCID: https://orcid.org/0000-0002-0020-077X and Zhang, Ji ORCID: https://orcid.org/0000-0001-7167-6970 and Yong, Jianming and Zhou, Xujuan and Gururajan, Raj ORCID: https://orcid.org/0000-0002-5919-0174 (2019) MeKG: building a medical knowledge graph by data mining from MEDLINE. In: 12th International Conference on Brain Informatics (BI 2019), 13-15 Dec 2019, Haikou; China.

Abstract

Mining data on a knowledge level can help to achieve a higher performance of a decision support system. This study built a knowledge graph based on MEDLINE that has a large number of articles in the medical domain. MEDLINE uses Medical Subject Headings (MeSH) for document index. Based on MeSH, articles are extracted from the MEDLINE correspondent to medical subjects. Using the MeSH as the backbone of knowledge base, the MEDLINE articles were used to generate instances which helped to populate the knowledge base. This approach facilitated the creation of a knowledge graph that was capable of discovering the hidden knowledge among concepts of MeSH. The knowledge graph had a significant effect on improving the quality of healthcare. The contribution of the research is on a framework for building knowledge bases. Moreover, the approach provided an essential source at the knowledge level for researchers in healthcare.

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Item Type:	Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed:	Yes
Item Status:	Live Archive
Additional Information:	Permanent restricted access to Published version in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre:	Historic - Faculty of Health, Engineering and Sciences - School of Sciences (6 Sep 2019 - 31 Dec 2021)
Faculty/School / Institute/Centre:	Historic - Faculty of Business, Education, Law and Arts - School of Management and Enterprise (1 Jul 2013 - 17 Jan 2021)
Date Deposited:	11 Mar 2020 05:29
Last Modified:	19 Dec 2021 22:27
Uncontrolled Keywords:	MeSH, MEDLINE, knowledge graph, data mining
Fields of Research (2008):	08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining 08 Information and Computing Sciences > 0806 Information Systems > 080605 Decision Support and Group Support Systems 08 Information and Computing Sciences > 0807 Library and Information Studies > 080702 Health Informatics
Fields of Research (2020):	46 INFORMATION AND COMPUTING SCIENCES > 4699 Other information and computing sciences > 469999 Other information and computing sciences not elsewhere classified 46 INFORMATION AND COMPUTING SCIENCES > 4609 Information systems > 460902 Decision support and group support systems 42 HEALTH SCIENCES > 4203 Health services and systems > 420308 Health informatics and information systems
Identification Number or DOI:	https://doi.org/10.1007/978-3-030-37078-7_16
URI:	http://eprints.usq.edu.au/id/eprint/37948

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