Identification and formal representation of change operations in LOINC evolution

Sari, Anny Kartika (2019) Identification and formal representation of change operations in LOINC evolution. International Journal of Advanced Computer Science and Applications, 10 (1). 546 - 555. ISSN 2158107X

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Abstract

LOINC (Logical Observation Identifiers Names and Codes) is one of the standardized health ontologies that is widely used by practitioners in the health sector. Like other ontologies in health field, LOINC evolves. This research focuses on representing formally the conceptual changes in LOINC. Four steps are taken to achieve this goal. First, the release of LOINC is studied to get an overview of the changes in LOINC. Secondly, the change operations that occur in LOINC are classified. Third, the changes are represented formally by considering the need to keep the history of changes in concepts. Finally, a few algorithms are developed to identify changes that occur between two releases of LOINC. The evaluation shows that the algorithms are able to identify change operations in LOINC with 100 of success rate. With a formal representation of changes that occur in LOINC, it is expected that adjustments to applications that use LOINC can be performed more straightforward. The history of reference to concepts in LOINC can also be traced back so that information about the changes on the reference can be obtained easily. © 2018 The Science and Information (SAI) Organization Limited.

Item Type: Article
Additional Information: Cited by: 1; All Open Access; Gold Open Access; Green Open Access
Uncontrolled Keywords: Health; Change operations; Classifieds; Conceptual change; Evolution; Formal representations; Logical observation identifiers names and codes; Ontology's; Research focus; Ontology
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Mathematics and Natural Sciences > Computer Science & Electronics Department
Depositing User: Sri JUNANDI
Date Deposited: 21 Oct 2026 02:38
Last Modified: 21 Oct 2026 02:38
URI: https://ir.lib.ugm.ac.id/id/eprint/29170

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