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

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

<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 se...

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Main Authors: Korkontzelos Ioannis, Mu Tingting, Ananiadou Sophia
Format: Article
Language:English
Published: BMC 2012-04-01
Series:BMC Medical Informatics and Decision Making
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spelling doaj-ad4c3e0c10ed43318acad3b4379845062020-11-24T22:43:28ZengBMCBMC Medical Informatics and Decision Making1472-69472012-04-0112Suppl 1S310.1186/1472-6947-12-S1-S3ASCOT: a text mining-based web-service for efficient search and assisted creation of clinical trialsKorkontzelos IoannisMu TingtingAnaniadou Sophia<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>
collection DOAJ
language English
format Article
sources DOAJ
author Korkontzelos Ioannis
Mu Tingting
Ananiadou Sophia
spellingShingle Korkontzelos Ioannis
Mu Tingting
Ananiadou Sophia
ASCOT: a text mining-based web-service for efficient search and assisted creation of clinical trials
BMC Medical Informatics and Decision Making
author_facet Korkontzelos Ioannis
Mu Tingting
Ananiadou Sophia
author_sort Korkontzelos Ioannis
title ASCOT: a text mining-based web-service for efficient search and assisted creation of clinical trials
title_short ASCOT: a text mining-based web-service for efficient search and assisted creation of clinical trials
title_full ASCOT: a text mining-based web-service for efficient search and assisted creation of clinical trials
title_fullStr ASCOT: a text mining-based web-service for efficient search and assisted creation of clinical trials
title_full_unstemmed ASCOT: a text mining-based web-service for efficient search and assisted creation of clinical trials
title_sort ascot: a text mining-based web-service for efficient search and assisted creation of clinical trials
publisher BMC
series BMC Medical Informatics and Decision Making
issn 1472-6947
publishDate 2012-04-01
description <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>
work_keys_str_mv AT korkontzelosioannis ascotatextminingbasedwebserviceforefficientsearchandassistedcreationofclinicaltrials
AT mutingting ascotatextminingbasedwebserviceforefficientsearchandassistedcreationofclinicaltrials
AT ananiadousophia ascotatextminingbasedwebserviceforefficientsearchandassistedcreationofclinicaltrials
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