ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2010
The Lexicon Builder Web service: Building Custom Lexicons from two hundred Biomedical Ontologies.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Predicting Future Cardiovascular Events in Patients With Peripheral Artery Disease Using Electronic Health Record Data.Circulation. Cardiovascular quality and outcomes · 2019Article
- Statin Intensity or Achieved LDL? Practice-based Evidence for the Evaluation of New Cholesterol Treatment Guidelines.PloS one · 2016Article
- Building the graph of medicine from millions of clinical narratives.Scientific data · 2014Article
- Profiling risk factors for chronic uveitis in juvenile idiopathic arthritis: a new model for EHR-based research.Pediatric rheumatology online journal · 2013Article
- Identifying phenotypic signatures of neuropsychiatric disorders from electronic medical records.Journal of the American Medical Informatics Association : JAMIA · 2013Article
- Network analysis of unstructured EHR data for clinical research.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2013Article
- Practice-based evidence: profiling the safety of cilostazol by text-mining of clinical notes.PloS one · 2013Article
- Mining the pharmacogenomics literature--a survey of the state of the art.Briefings in bioinformatics · 2012Article
- Unified Medical Language System term occurrences in clinical notes: a large-scale corpus analysis.Journal of the American Medical Informatics Association : JAMIA · 2012Article
- The National Center for Biomedical Ontology.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Domain specific biomedical lexicons are extensively used by researchers for natural language processing tasks. Currently these lexicons are created manually by expert curators and there is a pressing need for automated methods to compile such lexicons. The Lexicon Builder Web service addresses this need and reduces the investment of time and effort involved in lexicon maintenance. The service has three components: Inclusion - selects one or several ontologies (or its branches) and includes preferred names and synonym terms; Exclusion - filters terms based on the term's Medline frequency, syntactic type, UMLS semantic type and match with stopwords; Output - aggregates information, handles compression and output formats. Evaluation demonstrates that the service has high accuracy and runtime performance. It is currently being evaluated for several use cases to establish its utility in biomedical information processing tasks. The Lexicon Builder promotes collaboration, sharing and standardization of lexicons amongst researchers by automating the creation, maintainence and cross referencing of custom lexicons.
Indexed as
Identifiers
21347046PMC3041331What 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.