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Mapping Exposome Derived Phenotypes into SNOMED Codes.
Hawthorne, Christopher; Marco Ruiz, Luis; Lopez Campos, Guillermo.
Afiliação
  • Hawthorne C; Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, UK.
  • Marco Ruiz L; Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway.
  • Lopez Campos G; Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, UK.
Stud Health Technol Inform ; 302: 1073-1074, 2023 May 18.
Article em En | MEDLINE | ID: mdl-37203585
ABSTRACT
Human phenotypes define the healthy or diseased status of an individual and they arise from the complex interactions between environmental and genetic factors. The whole set of human exposures constitute the human exposome. These exposures have multiple sources including physical and socioeconomic factors. In this manuscript we have used text mining techniques to retrieve 1295 and 1903 Human Phenotype Ontology terms associated with these exposome factors and we have subsequently mapped 83% and 90% of the HPO terms respectively) into SNOMED as a clinically actionable code. We have developed a proof-of-concept approach to facilitate the integration of exposomic and clinical data.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article