SNOMED-CT: The advanced terminology and coding system for eHealth.
By Kevin P. Donnelly. Studies in Health Technology and Informatics, 2006
695 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/3bfb0f5a463240c945f4a9ebf952d1eb42a79408
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Shamim Nemati
- Marzyeh Ghassemi
- Alistair E. W. Johnson
- Bijan Parsia
- Ghader Kurdi
- Chao Yu
- U. Sattler
- Jared Leo
Citations in the corpus
- A Systematic Review of Automatic Question Generation for Educational Purposes (2019, methodology): “There are also publicly available knowledge bases, such as UMLS (Bodenreider 2004) and SNOMED-CT (Donnelly 2006), that are utilised in different tasks such as text annotation and distractor generation.”
- Biomedical Ontologies in Action: Role in Knowledge Management, Data Integration and Decision Support (2008, methodology): “The ontologies under investigation in this survey include SNOMED CT, a comprehensive concept system for healthcare [21-23]; the Logical Observation Identif iers, Names, and Codes (LOINC), a vocabulary for laboratory tests and clinical observations [24-26]; the Foundational Model of Anatomy (FMA), a ”
- Self-Alignment Pretraining for Biomedical Entity Representations (2020, unknown): “Mentions are mapped to SNOMED CT (Donnelly, 2006).”
- Machine Learning and Decision Support in Critical Care (2016, background): “SNOMED-CT is another coding system [36] which has been shown to cover 93% of clinical concepts in a problem list [37].”