ArticleBMC medical informatics and decision making2018
SNOMED CT standard ontology based on the ontology for general medical science.
Article in BMC medical informatics and decision making, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 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
40 citing papers in PubMed.
- Enriching Public Pathogen Genomic Records With Patient Metadata: Quantitative Study and Exploratory Case Analysis.JMIR bioinformatics and biotechnology · 2026Article
- Reconciling global collaboration and data sovereignty in neuroscience.Nature neuroscience · 2026Review
- An intention-oriented multi-agent dialogue system for patient-centered decision-making.BMC medical informatics and decision making · 2026Article
- Representing dental caries and dysbiosis within the oral microbiome in the Oral Health and Disease Ontology.Journal of biomedical semantics · 2026Article
- Representing dental restoration materials in the oral health and disease ontology.Journal of biomedical semantics · 2026Article
- Benchmarking large language models for extracting biobank-derived insights into health and disease.PLoS computational biology · 2026Article
- PVRI-GoDeep-A Global Meta-Registry at the Crossroads of Heart and Lung.Comprehensive Physiology · 2026Article
- eDEM-CONNECT: agitation ontology for the intelligent support of informal caregivers of people with dementia.Frontiers in aging · 2026Article
- ClinFly: an all-in-one method to translate, de-identify, and summarize medical reports in HPO format.NAR genomics and bioinformatics · 2025Article
- A Metadata-Driven Framework for Strengthening Pathogen Genomics Lessons from SARS-CoV-2.medRxiv : the preprint server for health sciences · 2025Article
- Representing Dental Caries and Dysbiosis within the Oral Microbiome in the Oral Health and Disease Ontology.Research square · 2025Article
- Semantic web-based ontology: a comprehensive framework for cardiovascular knowledge representation.BMC cardiovascular disorders · 2025Article
- A machine learning model using clinical notes to identify physician fatigue.Nature communications · 2025Article
- Ontology-guided clustering enables proteomic analysis of rare pediatric disorders.EMBO molecular medicine · 2025Article
- VarGuideAtlas: a repository of variant interpretation guidelines.Database : the journal of biological databases and curation · 2025Article
- Fine-tuning large language models for rare disease concept normalization.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- It Is in Our DNA: Bringing Electronic Health Records and Genomic Data Together for Precision Medicine.JMIR bioinformatics and biotechnology · 2024Article
- Fine-tuning Large Language Models for Rare Disease Concept Normalization.bioRxiv : the preprint server for biology · 2024Article
- Developing a Novel Ontology for Cybersecurity in Internet of Medical Things-Enabled Remote Patient Monitoring.Sensors (Basel, Switzerland) · 2024Article
- Public data homogenization for AI model development in breast cancer.European radiology experimental · 2024Article
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
No grant is acknowledged in the PubMed record.
Abstract
backgroundSystematized Nomenclature of Medicine-Clinical Terms (SNOMED CT, hereafter abbreviated SCT) is a comprehensive medical terminology used for standardizing the storage, retrieval, and exchange of electronic health data. Some efforts have been made to capture the contents of SCT as Web Ontology Language (OWL), but these efforts have been hampered by the size and complexity of SCT.
methodOur proposal here is to develop an upper-level ontology and to use it as the basis for defining the terms in SCT in a way that will support quality assurance of SCT, for example, by allowing consistency checks of definitions and the identification and elimination of redundancies in the SCT vocabulary. Our proposed upper-level SCT ontology (SCTO) is based on the Ontology for General Medical Science (OGMS).
resultsThe SCTO is implemented in OWL 2, to support automatic inference and consistency checking. The approach will allow integration of SCT data with data annotated using Open Biomedical Ontologies (OBO) Foundry ontologies, since the use of OGMS will ensure consistency with the Basic Formal Ontology, which is the top-level ontology of the OBO Foundry. Currently, the SCTO contains 304 classes, 28 properties, 2400 axioms, and 1555 annotations. It is publicly available through the bioportal at http://bioportal.bioontology.org/ontologies/SCTO/ .
conclusionThe resulting ontology can enhance the semantics of clinical decision support systems and semantic interoperability among distributed electronic health records. In addition, the populated ontology can be used for the automation of mobile health applications.
Indexed as
Identifiers
What 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.