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

Mélissa Mary, Lina Fatima Soualmia, Xavier Gansel, Stéfan Jacques Darmoni, Daniel Karlsson, Stefan Schulz. Ontological Representation of Laboratory Test Observables: Challenges and Perspectives in the SNOMED CT Observable Entity Model Adoption. In Annette ten Teije, Christian Popow, John H. Holmes, Lucia Sacchi, editors, Artificial Intelligence in Medicine - 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Vienna, Austria, June 21-24, 2017, Proceedings. Volume 10259 of Lecture Notes in Computer Science, pages 14-23, Springer, 2017. [doi]

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