ArticleJournal of biomedical informatics2011
A practical method for transforming free-text eligibility criteria into computable criteria.
Article in Journal of biomedical informatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
68 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Employing computers for the recruitment into clinical trials: a comprehensive systematic review.Journal of medical Internet research · 2014Pooled it
- Deficiencies in the transfer and availability of clinical trials evidence: a review of existing systems and standards.BMC medical informatics and decision making · 2012Pooled it
- CMEO: a metadata-centric ontology for clinical studies exploration and harmonization assessment.BMC medical informatics and decision making · 2025Article
- Enhancing biomarker based oncology trial matching using large language models.NPJ digital medicine · 2025Article
- CriteriaMapper: establishing the automatic identification of clinical trial cohorts from electronic health records by matching normalized eligibility criteria and patient clinical characteristics.Scientific reports · 2024Article
- Article
- A review of research on eligibility criteria for clinical trials.Clinical and experimental medicine · 2023Review
- Semantically enabling clinical decision support recommendations.Journal of biomedical semantics · 2023Article
- NeuroBridge: a prototype platform for discovery of the long-tail neuroimaging data.Frontiers in neuroinformatics · 2023Article
- The Leaf Clinical Trials Corpus: a new resource for query generation from clinical trial eligibility criteria.Scientific data · 2022Article
- ELaPro, a LOINC-mapped core dataset for top laboratory procedures of eligibility screening for clinical trials.BMC medical research methodology · 2022Article
- Transformer-Based Named Entity Recognition for Parsing Clinical Trial Eligibility Criteria.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2021Article
- A Framework for Systematic Assessment of Clinical Trial Population Representativeness Using Electronic Health Records Data.Applied clinical informatics · 2021Article
- Practical Aspects of Implementing and Applying Health Care Cloud Computing Services and Informatics to Cancer Clinical Trial Data.JCO clinical cancer informatics · 2021Article
- EMR2vec: Bridging the gap between patient data and clinical trial.Computers & industrial engineering · 2021Article
- Analysis of Not Structurable Oncological Study Eligibility Criteria for Improved Patient-Trial Matching.Methods of information in medicine · 2021Article
- Chia, a large annotated corpus of clinical trial eligibility criteria.Scientific data · 2020Article
- A rule-based approach to identify patient eligibility criteria for clinical trials from narrative longitudinal records.JAMIA open · 2019Article
- DQueST: dynamic questionnaire for search of clinical trials.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- An approach for transgender population information extraction and summarization from clinical trial text.BMC medical informatics and decision making · 2019Article
8 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Formalizing eligibility criteria in a computer-interpretable language would facilitate eligibility determination for study subjects and the identification of studies on similar patient populations. Because such formalization is extremely labor intensive, we transform the problem from one of fully capturing the semantics of criteria directly in a formal expression language to one of annotating free-text criteria in a format called ERGO annotation. The annotation can be done manually, or it can be partially automated using natural-language processing techniques. We evaluated our approach in three ways. First, we assessed the extent to which ERGO annotations capture the semantics of 1000 eligibility criteria randomly drawn from ClinicalTrials.gov. Second, we demonstrated the practicality of the annotation process in a feasibility study. Finally, we demonstrate the computability of ERGO annotation by using it to (1) structure a library of eligibility criteria, (2) search for studies enrolling specified study populations, and (3) screen patients for potential eligibility for a study. We therefore demonstrate a new and practical method for incrementally capturing the semantics of free-text eligibility criteria into computable form.
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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.