Ontology-driven identification of inconsistencies in clinical data: A case study in lung cancer phenotyping.

Journal: Journal of biomedical informatics
PMID: 40122479

Abstract

OBJECTIVE: To illustrate the use of an ontology in evaluating data quality in the medical field, focusing on phenotyping lung cancers.

Authors

  • Yvon K Awuklu
    CHU de Bordeaux, Service d'Information Médicale, F-33000, Bordeaux, France; Univ. Bordeaux, INSERM, BPH, U1219, F-33000, Bordeaux, France; Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800, F-33400, Talence, France. Electronic address: kokou-yvon.awuklu@u-bordeaux.fr.
  • Fleur Mougin
    Université Bordeaux, ISPED, Centre INSERM U897, ERIAS, France.
  • Romain Griffier
    Department of Public Health, Faculty of medicine, University of Bordeaux, Bordeaux, France.
  • Meghyn Bienvenu
    Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800, F-33400, Talence, France.
  • Vianney Jouhet
    ERIAS, INSERM U897, ISPED, Université Bordeaux, Bordeaux, France.

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