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BMC Medical Informatics and Decision Making

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Open Access 01-12-2012 | Proceedings

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

Authors: Ioannis Korkontzelos, Tingting Mu, Sophia Ananiadou

Published in: BMC Medical Informatics and Decision Making | Special Issue 1/2012

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.

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Title: ASCOT: a text mining-based web-service for efficient search and assisted creation of clinical trials
Authors: Ioannis Korkontzelos
Tingting Mu
Sophia Ananiadou
Publication date: 01-12-2012
Publisher: BioMed Central
Published in: BMC Medical Informatics and Decision Making / Issue Special Issue 1/2012
Electronic ISSN: 1472-6947
DOI: https://doi.org/10.1186/1472-6947-12-S1-S3

ACC 2024 Congress

Springer Medicine

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

Abstract

ACC 2024 Congress

Springer Medicine

Abstract

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