Ontological Representation of Laboratory Test Observables: Challenges and Perspectives in the SNOMED CT Observable Entity Model Adoption

Mélissa Mary (1, 2, 3) , Lina F. Soualmia (1, 2) , Xavier Gansel (3) , Stefan J. Darmoni (1, 4) , Daniel Karlsson (5) , Stefan Schulz (6)

1 LITIS - Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes
2 TIBS - LITIS - Equipe Traitement de l'information en Biologie Santé
3 BIOMERIEUX
4 LIMICS - Laboratoire d'Informatique Médicale et Ingénierie des Connaissances en e-Santé
5 Department of Biomedical Engineering [Linköping]
6 IMI - Institut für Medizinische Informatik, Statistik und Dokumentation [Graz]

Mots clés: LOINC; Biomedical terminology; Biomedical ontology; SNOMED CT; BioTopLite2

Domaines: Informatique [cs]

Mélissa Mary, Lina F. Soualmia, Xavier Gansel, Stefan J. Darmoni, Daniel Karlsson, et al.. Ontological Representation of Laboratory Test Observables: Challenges and Perspectives in the SNOMED CT Observable Entity Model Adoption. Artificial Intelligence in Medicine - 16th Conference on Artificial Intelligence in Medicine,, Jun 2017, Vienna, Austria. pp.14-23, ⟨10.1007/978-3-319-59758-4_2⟩. ⟨hal-02100409⟩