Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/iswc2010/paper/419> ?p ?o. }
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- 419 creator anita-burgun.
- 419 creator annabel-bourde.
- 419 creator marc-cuggia.
- 419 creator oussama-zekri.
- 419 creator paolo-besana.
- 419 type InProceedings.
- 419 label "Using Semantic Web technologies for Clinical Trial Recruitment".
- 419 sameAs 419.
- 419 abstract "Clinical trials are fundamental for medical science: they provide the evaluation for new treatments and new diagnostic approaches. One of the most difficult parts of clinical trials is the recruitment of patients: many trials fail due to lack of participants. Recruitment is done by matching the eligibility criteria of trials to patient conditions. This is usually done manually, but both the large number of active trials and the lack of time available for matching keep the recruitment ratio low. In this paper we present a method, entirely based on standard semantic web technologies and tool, that allows the automatic recruitment of a patient to the available clinical trials. We use a domain specific ontology to represent data from patients' health records and we use SWRL to verify the eligibility of patients to clinical trials.".
- 419 hasAuthorList authorList.
- 419 isPartOf proceedings.
- 419 keyword "semantic web".
- 419 title "Using Semantic Web technologies for Clinical Trial Recruitment".