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LABO: An Ontology for Laboratory Test Prescription and Reporting

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 01 Jan 2019 France Publisher:Zenodo

Authors: Barton, Adrien; Fabry, Paul; Lavoie, Luc; Ethier, Jean-François;

doi: 10.5281/zenodo.6522019 , 10.5281/zenodo.6522018

LABO: An Ontology for Laboratory Test Prescription and Reporting

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Abstract

Abstract LABO is an ontology formalizing laboratory test prescriptions and reporting documents. It is built according to the OBO Foundry methodology, and is a component of a core ontological model that aims to enable interoperability between various clinical data sources in the context of a Learning Health System. This article presents LABO, distinguishing between directive entities and data items, and using the relations directs and is about to represent their connections with the relevant laboratory test processes.

Country

France

Related Organizations

Université Paris Diderot
France
French National Centre for Scientific Research
France
Université de Sherbrooke
Canada
Toulouse Institute of Computer Science Research
France

Keywords

[SDV.MHEP] Life Sciences [q-bio]/Human health and pathology, OBO Foundry, [SHS.PHIL]Humanities and Social Sciences/Philosophy, information content entity, [INFO] Computer Science [cs], [SHS.PHIL] Humanities and Social Sciences/Philosophy, laboratory test, [INFO]Computer Science [cs], Directive information entity; Information content entity; Laboratory test, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology

Impact byBIP!

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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average