J Biomed Inform - eTACTS: a method for dynamically filtering clinical trial search results.


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{ perform(999) metric(946) measur(919) }
{ activ(1452) weight(1219) physic(1104) }
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{ method(984) reconstruct(947) comput(926) }
{ group(2977) signific(1463) compar(1072) }
{ structur(1116) can(940) graph(676) }
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JECTIVE: Information overload is a significant problem facing online clinical trial searchers. We present eTACTS, a novel interactive retrieval framework using common eligibility tags to dynamically filter clinical trial search results.MATERIALS AND METHODS: eTACTS mines frequent eligibility tags from free-text clinical trial eligibility criteria and uses these tags for trial indexing. After an initial search, eTACTS presents to the user a tag cloud representing the current results. When the user selects a tag, eTACTS retains only those trials containing that tag in their eligibility criteria and generates a new cloud based on tag frequency and co-occurrences in the remaining trials. The user can then select a new tag or unselect a previous tag. The process iterates until a manageable number of trials is returned. We evaluated eTACTS in terms of filtering efficiency, diversity of the search results, and user eligibility to the filtered trials using both qualitative and quantitative methods.RESULTS: eTACTS (1) rapidly reduced search results from over a thousand trials to ten; (2) highlighted trials that are generally not top-ranked by conventional search engines; and (3) retrieved a greater number of suitable trials than existing search engines.DISCUSSION: eTACTS enables intuitive clinical trial searches by indexing eligibility criteria with effective tags. User evaluation was limited to one case study and a small group of evaluators due to the long duration of the experiment. Although a larger-scale evaluation could be conducted, this feasibility study demonstrated significant advantages of eTACTS over existing clinical trial search engines.CONCLUSION: A dynamic eligibility tag cloud can potentially enhance state-of-the-art clinical trial search engines by allowing intuitive and efficient filtering of the search result space.

Resumo Limpo

jectiv inform overload signific problem face onlin clinic trial searcher present etact novel interact retriev framework use common elig tag dynam filter clinic trial search resultsmateri method etact mine frequent elig tag freetext clinic trial elig criteria use tag trial index initi search etact present user tag cloud repres current result user select tag etact retain trial contain tag elig criteria generat new cloud base tag frequenc cooccurr remain trial user can select new tag unselect previous tag process iter manag number trial return evalu etact term filter effici divers search result user elig filter trial use qualit quantit methodsresult etact rapid reduc search result thousand trial ten highlight trial general toprank convent search engin retriev greater number suitabl trial exist search enginesdiscuss etact enabl intuit clinic trial search index elig criteria effect tag user evalu limit one case studi small group evalu due long durat experi although largerscal evalu conduct feasibl studi demonstr signific advantag etact exist clinic trial search enginesconclus dynam elig tag cloud can potenti enhanc stateoftheart clinic trial search engin allow intuit effici filter search result space

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