ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2010
Improving Search for Evidence-based Practice using Information Extraction.
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 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, 13 citations in OpenAlex.
- An annotated corpus of clinical trial publications supporting schema-based relational information extraction.Journal of biomedical semantics · 2022Article
- Improving reference prioritisation with PICO recognition.BMC medical informatics and decision making · 2019Article
- Combination of conditional random field with a rule based method in the extraction of PICO elements.BMC medical informatics and decision making · 2018Article
- Machine learning to assist risk-of-bias assessments in systematic reviews.International journal of epidemiology · 2016Article
- Exploiting classification correlations for the extraction of evidence-based practice information.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012Article
- eEvidence: Information Seeking Support for Evidence-based Practice: An Implementation Case Study.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2010Article
- Extracting Characteristics of the Study Subjects from Full-Text Articles.AMIA ... Annual Symposium proceedings. AMIA SymposiumArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The search for applicable and valid research evidence-based practice articles is not supported well in common EBP resources, as some crucial study data, such as patient details, study design and results, are not available or presented explicitly. We propose to extract these data from research articles using a two-step supervised soft classification method. Compared to manual annotation, our approach is less labor-intensive and more flexible, hence opening up the possibility of utilizing these data to facilitate the evidence selection process in information seeking support systems.
Indexed as
Identifiers
21347116PMC3041452W150455679What 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.