A Recommender System to Help Refining Clinical Research Studies
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http://hdl.handle.net/2183/28082
Except where otherwise noted, this item's license is described as Atribución-NoComercial 4.0 International (CC BY-NC 4.0)
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A Recommender System to Help Refining Clinical Research StudiesDate
2021-05-01Citation
Almeida JR, Silva JF, Matos S, Pazos A, Oliveira JL. A Recommender System to Help Refining Clinical Research Studies. Stud Health Technol Inform. 2021; 281:327-331. doi:10.3233/SHTI210174
Abstract
[Abstract]
The process of refining the research question in a medical study depends greatly on the current background of the investigated subject. The information found in prior works can directly impact several stages of the study, namely the cohort definition stage. Besides previous published methods, researchers could also leverage on other materials, such as the output of cohort selection tools, to enrich and to accelerate their own work. However, this kind of information is not always captured by search engines. In this paper, we present a methodology, based on a combination of content-based retrieval and text annotation techniques, to identify relevant scientific publications related to a research question and to the selected data sources.
Keywords
Research Question Refinement
Medical Studies
NLP
Medical Studies
NLP
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Rights
Atribución-NoComercial 4.0 International (CC BY-NC 4.0)
ISSN
1879-8365