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Updated: May 22, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
Published on: February 23, 2019
ASCOT: a text mining-based web-service for efficient search and assisted creation of clinical trials
Ioannis Korkontzelos1, Tingting Mu, Sophia Ananiadou
1National Centre for Text Mining & School of Computer Science, The University of Manchester, Manchester M1 7DN, UK. Ioannis.Korkontzelos@manchester.ac.uk
Abstract:
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 ASCOT, an efficient search application customised for clinical trials. ASCOT 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, ASCOT integrates a component for recommending eligibility criteria based on a set of selected protocols.
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