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OWL model of clinical trial eligibility criteria compatible with partially-known information

Overview of attention for article published in Journal of Biomedical Semantics, September 2013
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Title
OWL model of clinical trial eligibility criteria compatible with partially-known information
Published in
Journal of Biomedical Semantics, September 2013
DOI 10.1186/2041-1480-4-17
Pubmed ID
Authors

Olivier Dameron, Paolo Besana, Oussama Zekri, Annabel Bourdé, Anita Burgun, Marc Cuggia

Abstract

Clinical trials are important for patients, for researchers and for companies. One of the major bottlenecks is patient recruitment. This task requires the matching of a large volume of information about the patient with numerous eligibility criteria, in a logically-complex combination. Moreover, some of the patient's information necessary to determine the status of the eligibility criteria may not be available at the time of pre-screening.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Netherlands 1 3%
France 1 3%
Brazil 1 3%
Finland 1 3%
United Kingdom 1 3%
Belgium 1 3%
United States 1 3%
Unknown 30 79%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 24%
Student > Ph. D. Student 6 16%
Student > Master 6 16%
Student > Postgraduate 4 11%
Professor > Associate Professor 3 8%
Other 6 16%
Unknown 4 11%
Readers by discipline Count As %
Computer Science 21 55%
Medicine and Dentistry 4 11%
Agricultural and Biological Sciences 3 8%
Social Sciences 3 8%
Economics, Econometrics and Finance 1 3%
Other 3 8%
Unknown 3 8%