Semantic enrichment of Pomeranian health study data using LOINC and WHO-FIC terminology mapping principles

Objective To semantically enrich the laboratory data dictionary of the Study of Health in Pomerania (SHIP), a population-based cohort study, with LOINC to achieve better compliance with the FAIR principles for data stewardship. Materials and Methods We employed a workflow that maps codes from the SH...

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Bibliographic Details
Published in:	JAMIA open Vol. 8; no. 2; p. ooaf010
Main Authors:	Inau, Esther Thea, Radke, Dörte, Bird, Linda, Westphal, Susanne, Ittermann, Till, Schäfer, Christian, Nauck, Matthias, Zeleke, Atinkut Alamirrew, Schmidt, Carsten Oliver, Waltemath, Dagmar
Format:	Journal Article
Language:	English
Published:	United States Oxford University Press 01.04.2025
Subjects:	Computational linguistics Data dictionaries Laboratories Language processing Natural language interfaces Research and Applications Semantics Terms and phrases South Korea Germany LOINC WHO-FIC FAIR Study of Health in Pomerania data dictionary semantic enrichment
ISSN:	2574-2531, 2574-2531
Online Access:	Get full text
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