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LABO: An ontology for laboratory test prescription and reporting

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jan 2019Publisher: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

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.

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

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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