| Summary: | <p>Abstract</p> <p>Clinical trials are mandatory protocols describing medical research on humans and among the most valuable sources of medical practice evidence. Searching for trials relevant to some query is laborious due to the immense number of existing protocols. Apart from search, writing new trials includes composing detailed eligibility criteria, which might be time-consuming, especially for new researchers. In this paper we present <it>ASCOT</it>, an efficient search application customised for clinical trials. <it>ASCOT </it>uses text mining and data mining methods to enrich clinical trials with metadata, that in turn serve as effective tools to narrow down search. In addition, <it>ASCOT </it>integrates a component for recommending eligibility criteria based on a set of selected protocols.</p>
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