Ontological Representation of Laboratory Test Observables: Challenges and Perspectives in the SNOMED CT Observable Entity Model Adoption - Normandie Université
Conference Papers Year : 2017

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

Domains

Computer Science [cs]

Lina F Soualmia  : Connect in order to contact the contributor

https://normandie-univ.hal.science/hal-02100409

Submitted on : Monday, April 15, 2019-7:12:48 PM

Last modification on : Tuesday, July 23, 2024-3:18:28 AM

No file

Dates and versions

hal-02100409 , version 1 (15-04-2019)

Identifiers

Cite

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⟩

Export

BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite

Collections

UNIV-PARIS13 INSA-ROUEN LITIS LIMICS COMUE-NORMANDIE USPC UNIROUEN UNILEHAVRE INSA-GROUPE SORBONNE-UNIVERSITE SU-SCIENCES SORBONNE-PARIS-NORD ACT-R
46 View
0 Download

Altmetric

Share

More