Mostrar o rexistro simple do ítem
A Recommender System to Help Refining Clinical Research Studies
dc.contributor.author | Almeida, João Rafael | |
dc.contributor.author | Silva, João Figueira | |
dc.contributor.author | Matos, Sergio | |
dc.contributor.author | Pazos, A. | |
dc.contributor.author | Oliveira, José Luís | |
dc.date.accessioned | 2021-06-14T08:55:33Z | |
dc.date.available | 2021-06-14T08:55:33Z | |
dc.date.issued | 2021-05-01 | |
dc.identifier.citation | 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 | es_ES |
dc.identifier.issn | 1879-8365 | |
dc.identifier.uri | http://hdl.handle.net/2183/28082 | |
dc.description.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. | es_ES |
dc.description.sponsorship | This work has received support from the EU/EFPIA Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 806968. JFS and JRA are funded by the FCT - Foundation for Science and Technology (national funds) under the grants PD/BD/142878/2018 and SFRH/BD/147837/2019 respectively. | es_ES |
dc.description.sponsorship | Portugal. Fundação para a Ciência e a Tecnologia; PD/BD/142878/2018 | |
dc.description.sponsorship | Portugal. Fundação para a Ciência e a Tecnologia; SFRH/BD/147837/2019 | |
dc.language.iso | eng | es_ES |
dc.publisher | IOS Press | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/806968 | |
dc.relation.uri | https://doi.org/10.3233/SHTI210174 | es_ES |
dc.rights | Atribución-NoComercial 4.0 International (CC BY-NC 4.0) | es_ES |
dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/deed.en_US | * |
dc.subject | Research Question Refinement | es_ES |
dc.subject | Medical Studies | es_ES |
dc.subject | NLP | es_ES |
dc.title | A Recommender System to Help Refining Clinical Research Studies | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | Studies in health technology and informatics | es_ES |
UDC.volume | 281 | es_ES |
UDC.startPage | 327 | es_ES |
UDC.endPage | 331 | es_ES |
dc.identifier.doi | 10.3233/SHTI210174 |
Ficheiros no ítem
Este ítem aparece na(s) seguinte(s) colección(s)
-
GI-RNASA - Artigos [195]
-
OpenAIRE [359]