ArticleBriefings in bioinformatics2013
Evaluation of research in biomedical ontologies.
Article in Briefings in bioinformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed.
- Effects of guideline-based training on the quality of formal ontologies: a randomized controlled trial.PloS one · 2013Trial
- MeSH2Matrix: combining MeSH keywords and machine learning for biomedical relation classification based on PubMed.Journal of biomedical semantics · 2024Article
- PCAO2: an ontology for integration of prostate cancer associated genotypic, phenotypic and lifestyle data.Briefings in bioinformatics · 2024Article
- A survey on clinical natural language processing in the United Kingdom from 2007 to 2022.NPJ digital medicine · 2022Review
- IrGO: Iranian traditional medicine General Ontology and knowledge base.Journal of biomedical semantics · 2021Article
- Biomedical Holistic Ontology for People with Rare Diseases.International journal of environmental research and public health · 2020Article
- CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis.Scientific data · 2020Article
- Formal axioms in biomedical ontologies improve analysis and interpretation of associated data.Bioinformatics (Oxford, England) · 2020Article
- Quantitative evaluation of ontology design patterns for combining pathology and anatomy ontologies.Scientific reports · 2019Article
- The eXtensible ontology development (XOD) principles and tool implementation to support ontology interoperability.Journal of biomedical semantics · 2018Review
- Toward a comprehensive drug ontology: extraction of drug-indication relations from diverse information sources.Journal of biomedical semantics · 2017Article
- "Gestaltomics": Systems Biology Schemes for the Study of Neuropsychiatric Diseases.Frontiers in physiology · 2017Review
- Information and organization in public health institutes: an ontology-based modeling of the entities in the reception-analysis-report phases.Journal of biomedical semantics · 2016Article
- Design and Development of a Sharable Clinical Decision Support System Based on a Semantic Web Service Framework.Journal of medical systems · 2016Article
- The role of ontologies in biological and biomedical research: a functional perspective.Briefings in bioinformatics · 2015Article
- Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data.Nucleic acids research · 2015Article
- An ontology approach to comparative phenomics in plants.Plant methods · 2015Article
- Finding gene regulatory network candidates using the gene expression knowledge base.BMC bioinformatics · 2014Article
- Modeling the autism spectrum disorder phenotype.Neuroinformatics · 2014Article
- Analyzing gene expression data in mice with the Neuro Behavior Ontology.Mammalian genome : official journal of the International Mammalian Genome Society · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Ontologies are now pervasive in biomedicine, where they serve as a means to standardize terminology, to enable access to domain knowledge, to verify data consistency and to facilitate integrative analyses over heterogeneous biomedical data. For this purpose, research on biomedical ontologies applies theories and methods from diverse disciplines such as information management, knowledge representation, cognitive science, linguistics and philosophy. Depending on the desired applications in which ontologies are being applied, the evaluation of research in biomedical ontologies must follow different strategies. Here, we provide a classification of research problems in which ontologies are being applied, focusing on the use of ontologies in basic and translational research, and we demonstrate how research results in biomedical ontologies can be evaluated. The evaluation strategies depend on the desired application and measure the success of using an ontology for a particular biomedical problem. For many applications, the success can be quantified, thereby facilitating the objective evaluation and comparison of research in biomedical ontology. The objective, quantifiable comparison of research results based on scientific applications opens up the possibility for systematically improving the utility of ontologies in biomedical research.
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.