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

ABSTRACT:

Background

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.

Results

We showed that the classic approach based on negation as failure over-estimates rejection when confronted with partially-known information about the eligibility criteria because it ignores the distinction between a trial for which patient eligibility should be rejected and trials for which patient eligibility cannot be a

SUBMITTER: Dameron O 

PROVIDER: S-EPMC3852288 | biostudies-literature | 2013 Sep

REPOSITORIES: biostudies-literature