ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2006
Generating executable knowledge for evidence-based medicine using natural language and semantic processing.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Awareness, knowledge, use, and attitudes toward evidence based medicine in a developing country: survey of physicians in a canton in Bosnia and Herzegovina.Croatian medical journal · 2015Article
- Mining characteristics of epidemiological studies from Medline: a case study in obesity.Journal of biomedical semantics · 2014Article
- Integrating heterogeneous knowledge sources to acquire executable drug-related knowledge.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2010Article
- ExaCT: automatic extraction of clinical trial characteristics from journal publications.BMC medical informatics and decision making · 2010Article
- Awareness and use of evidence-based medicine databases and Cochrane Library among physicians in Croatia.Croatian medical journal · 2010Article
- Automated information extraction of key trial design elements from clinical trial publications.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2008Article
- Information-theoretic classification of SNOMED improves the organization of context-sensitive excerpts from Cochrane reviews.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2007Article
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
With an increase in the prevalence of patients having multiple medical conditions, along with the increasing number of medical information sources, an intelligent approach is required to integrate the answers to physicians' patient-related questions into clinical practice in the shortest, most specific way possible. Cochrane Scientific Reviews are currently considered to be the "gold standard" for evidence-based medicine (EBM), because of their well-defined systematic approach to assessing the available medical information. In order to develop semantic approaches for enabling the reuse of these Reviews, a system for producing executable knowledge was designed using a natural language processing (NLP) system we developed (BioMedLEE), and semantic processing techniques. Though BioMedLEE was not designed for or trained over the Cochrane Reviews, this study shows that disease, therapy and drug concepts can be extracted and correlated with an overall recall of 80.3%, coding precision of 94.1%, and concept-concept relationship precision of 87.3%.
Indexed as
Identifiers
17238302PMC1839756What 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.