Exploiting Knowledge Graphs in Healthcare

Suela Maxhelaku (), Elda Xhumari () and Endrit Xhina ()
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Suela Maxhelaku: University of Tirana
Elda Xhumari: University of Tirana
Endrit Xhina: University of Tirana

No 13615633, Proceedings of Economics and Finance Conferences from International Institute of Social and Economic Sciences

Abstract: The use of knowledge graphs in health care has increased the performance in which information is retrieved and patients' diagnoses are made. Because the healthcare domain is made up of complex concepts and many relationships between them, developing knowledge graphs presents numerous challenges. Another issue is the large number of medical standards, such as HL7, ICD-10, SNOMED CT, DICOM, LOINC, and so on. In this paper are analyzed the technologies used in the construction of knowledge graphs in healthcare. In addition, a model for generating knowledge graphs from the APHRO (Albanian Patient Healthcare Records) Ontology is proposed.

Keywords: Knowledge graphs; Ontology; Healthcare (search for similar items in EconPapers)
JEL-codes: C45 I19 (search for similar items in EconPapers)
Pages: 8 pages
Date: 2022-07
New Economics Papers: this item is included in nep-hea and nep-knm
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Published in Proceedings of the Proceedings of the 16th Economics & Finance Conference, Prague, Jul 2022, pages 111-118

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Persistent link: https://EconPapers.repec.org/RePEc:sek:iefpro:13615633

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