Unsupervised mining of frequent tags for clinical eligibility text indexing
We propose a novel method to mine frequent tags from clinical eligibility text. We indexed eligibility criteria through a controlled vocabulary of frequent tags. Frequent tags were unsupervised mined from clinical trial eligibility criteria. Frequent tags appeared effective to filter search results from ClinicalTrials.gov.
tags eligibility criteria controlled vocabulary clinical trials information storage and retrieval information filtering