MeKG: building a medical knowledge graph by data mining from MEDLINE
Paper
Paper/Presentation Title | MeKG: building a medical knowledge graph by data mining from MEDLINE |
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Presentation Type | Paper |
Authors | Pham, Thuan (Author), Tao, Xiaohui (Author), Zhang, Ji (Author), Yong, Jianming (Author), Zhou, Xujuan (Author) and Gururajan, Raj (Author) |
Editors | Liang, Peipeng, Goel, Vinod and Shan, Chunlei |
Journal or Proceedings Title | Lecture Notes in Computer Science (Book series) |
Journal Citation | 11976, pp. 159-168 |
Number of Pages | 10 |
Year | 2019 |
Publisher | Springer |
Place of Publication | Switzerland |
ISSN | 1611-3349 |
0302-9743 | |
ISBN | 9783030370770 |
9783030370787 | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-030-37078-7_16 |
Web Address (URL) of Paper | https://link.springer.com/chapter/10.1007/978-3-030-37078-7_16 |
Web Address (URL) of Conference Proceedings | https://link.springer.com/book/10.1007/978-3-030-37078-7 |
Conference/Event | 12th International Conference on Brain Informatics (BI 2019) |
Event Details | 12th International Conference on Brain Informatics (BI 2019) Parent International Conference on Brain Informatics (BI) Delivery In person Event Date 13 to end of 15 Dec 2019 Event Location Haikou, China Event Web Address (URL) |
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. |
Keywords | MeSH, MEDLINE, knowledge graph, data mining |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
460902. Decision support and group support systems | |
420308. Health informatics and information systems | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | School of Sciences |
School of Management and Enterprise | |
Institution of Origin | University of Southern Queensland |
Book Title | Lecture Notes in Computer Science |
https://research.usq.edu.au/item/q5963/mekg-building-a-medical-knowledge-graph-by-data-mining-from-medline
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