Email updates

Keep up to date with the latest news and content from BMC Medical Informatics and Decision Making and BioMed Central.

This article is part of the supplement: Proceedings of the ACM Fifth International Workshop on Data and Text Mining in Biomedical Informatics (DTMBio 2011)

Open Access Proceedings

ASCOT: a text mining-based web-service for efficient search and assisted creation of clinical trials

Ioannis Korkontzelos*, Tingting Mu and Sophia Ananiadou

Author Affiliations

National Centre for Text Mining & School of Computer Science, The University of Manchester, Manchester, M1 7DN, UK

For all author emails, please log on.

BMC Medical Informatics and Decision Making 2012, 12(Suppl 1):S3  doi:10.1186/1472-6947-12-S1-S3

Published: 30 April 2012

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.