ArticleStudies in health technology and informatics2015
Extending the coverage of phenotypes in SNOMED CT through post-coordination.
Article in Studies in health technology and informatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Mapping between clinical and preclinical terminologies: eTRANSAFE's Rosetta stone approach.Journal of biomedical semantics · 2025Article
- Linking rare and common disease vocabularies by mapping between the human phenotype ontology and phecodes.JAMIA open · 2023Article
- Translating and evaluating historic phenotyping algorithms using SNOMED CT.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- The use of SNOMED CT, 2013-2020: a literature review.Journal of the American Medical Informatics Association : JAMIA · 2021Review
- Constructing High-Fidelity Phenotype Knowledge Graphs for Infectious Diseases With a Fine-Grained Semantic Information Model: Development and Usability Study.Journal of medical Internet research · 2021Article
- Interoperability of Disease Concepts in Clinical and Research Ontologies: Contrasting Coverage and Structure in the Disease Ontology and SNOMED CT.Studies in health technology and informatics · 2017Article
- Interoperability between phenotypes in research and healthcare terminologies--Investigating partial mappings between HPO and SNOMED CT.Journal of biomedical semantics · 2016Article
- Automatic Extraction and Post-coordination of Spatial Relations in Consumer Language.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
objectivesTo extend the coverage of phenotypes in SNOMED CT through post-coordination.
methodsWe identify frequent modifiers in terms from the Human Phenotype Ontology (HPO), which we associate with templates for post-coordinated expressions in SNOMED CT.
resultsWe identified 176 modifiers, created 12 templates, and generated 1,617 post-coordinated expressions.
conclusionsThrough this novel approach, we can increase the current number of mappings by 50%.
Indexed as
Identifiers
26262161PMC5875691What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.