About: Modeling quantitative traits for COVID-19 case reports

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Modeling quantitative traits for COVID-19 case reports
Creator	Bello, Susan Hoehndorf, Robert Queralt-Rosinach, Núria Rocca-Serra, Philippe Schofield, Paul Weiland, Claus
Source	MedRxiv
abstract	Medical practitioners record the condition status of a patient through qualitative and quantitative observations. The measurement of vital signs and molecular parameters in the clinics gives a complementary description of abnormal phenotypes associated with the progression of a disease. The Clinical Measurement Ontology (CMO) is used to standardize annotations of these measurable traits. However, researchers have no way to describe how these quantitative traits relate to phenotype concepts in a machine-readable manner. Using the WHO clinical case report form standard for the COVID-19 pandemic, we modeled quantitative traits and developed OWL axioms to formally relate clinical measurement terms with anatomical, biomolecular entities and phenotypes annotated with the Uber-anatomy ontology (Uberon), Chemical Entities of Biological Interest (ChEBI) and the Phenotype and Trait Ontology (PATO) biomedical ontologies. The formal description of these relations allows interoperability between clinical and biological descriptions, and facilitates automated reasoning for analysis of patterns over quantitative and qualitative biomedical observations.
has issue date	2020-06-20(xsd:dateTime)
bibo:doi	10.1101/2020.06.18.20135103
has license	medrxiv
sha1sum (hex)	3ee4d4e1c98f9ed56835242af15111e728ed9194
schema:url	https://doi.org/10.1101/2020.06.18.20135103
resource representing a document's title	Modeling quantitative traits for COVID-19 case reports
resource representing a document's body	covid:3ee4d4e1c98f9ed56835242af15111e728ed9194#body_text
is schema:about of	named entity 'biological' named entity 'condition' named entity 'relate' named entity 'The' named entity 'measurable' named entity 'case reports' named entity 'USING' named entity 'HOW' named entity 'CLINICS' named entity 'ALLOWS' named entity 'vital signs' named entity 'patterns' named entity 'measurement' named entity 'relate' named entity 'traits' named entity 'ontologies' named entity 'quantitative' named entity 'biomolecular' named entity 'COVID-19' named entity 'Phenotype' named entity 'Medical practitioners' named entity 'Uber' named entity 'OWL' named entity 'ChEBI' named entity 'phenotypes' named entity 'formal description' named entity 'CRF' named entity 'case report' named entity 'medRxiv' named entity 'Ontology for Biomedical Investigations' named entity 'physiological' named entity 'bioinformatics' named entity 'Uberon' named entity 'phenotype' named entity 'COVID-19' named entity 'IL-8' named entity 'reference implementation' named entity 'metadata' named entity 'morphological' named entity 'data model' named entity 'ICU' named entity 'Data model' named entity 'peer review' named entity 'phenotype' named entity 'EFO' named entity 'quantitative analysis' named entity 'preprint' named entity 'ChEBI' named entity 'health records' named entity 'UBERON' named entity 'ShEx' named entity 'data model' named entity 'model organism' named entity 'data model' named entity 'serum electrolyte concentrations' named entity 'OBO Foundry' named entity 'computational pipelines' named entity 'ChEBI' named entity 'phenotype' named entity 'WHO' named entity 'cardiovascular' named entity 'Source code' named entity 'preprint' named entity 'phenotypic' named entity 'cytokine' named entity 'medRxiv' named entity 'BioAssay' named entity 'phenotypic' named entity 'preprint' named entity 'phenotype' named entity 'phenotypes' named entity 'Source code' named entity 'worldwide COVID-19 pandemic' named entity 'metadata' named entity 'Phenotypes' named entity 'EFO' named entity 'vital signs' named entity 'preprint' named entity 'blood pressure' named entity 'COVID-19'

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