Document Detail


A method of extracting the number of trial participants from abstracts describing randomized controlled trials.
MedLine Citation:
PMID:  18852316     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We have developed a method for extracting the number of trial participants from abstracts describing randomized controlled trials (RCTs); the number of trial participants may be an indication of the reliability of the trial. The method depends on statistical natural language processing. The number of interest was determined by a binary supervised classification based on a support vector machine algorithm. The method was trialled on 223 abstracts in which the number of trial participants was identified manually to act as a gold standard. Automatic extraction resulted in 2 false-positive and 19 false-negative classifications. The algorithm was capable of extracting the number of trial participants with an accuracy of 97% and an F-measure of 0.84. The algorithm may improve the selection of relevant articles in regard to question-answering, and hence may assist in decision-making.
Authors:
Marie J Hansen; Nana Ø Rasmussen; Grace Chung
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of telemedicine and telecare     Volume:  14     ISSN:  1758-1109     ISO Abbreviation:  J Telemed Telecare     Publication Date:  2008  
Date Detail:
Created Date:  2008-10-14     Completed Date:  2008-12-22     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9506702     Medline TA:  J Telemed Telecare     Country:  England    
Other Details:
Languages:  eng     Pagination:  354-8     Citation Subset:  IM    
Affiliation:
Aalborg University, Aalborg, Denmark. mjha03@hst.aau.dk
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Humans
Information Storage and Retrieval / methods*
Natural Language Processing*
Patient Selection*
Randomized Controlled Trials as Topic*
Research Design

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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