Top-Level MeSH Disease Terms Are Not Linearly Separable in Clinical Trial Abstracts
نویسندگان
چکیده
Assessments of the efficacy and safety of medical interventions are based on systematic reviews of clinical trials. Systematic reviewing requires the screening of vast amounts of publications, which is currently done by hand. In some cases systematic reviewers reduce thousands of publications to only a handful. Whereby, they maximize sensitivity and sacrifice specificity. To reduce the number of publications that need to be screened manually, we tried automated classification of publications by disease category using a Support Vector Machine as a supervised classifier.
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