A Recommender System to Help Refining Clinical Research Studies

UDC.coleccionInvestigaciónes_ES
UDC.departamentoCiencias da Computación e Tecnoloxías da Informaciónes_ES
UDC.endPage331es_ES
UDC.grupoInvRedes de Neuronas Artificiais e Sistemas Adaptativos -Informática Médica e Diagnóstico Radiolóxico (RNASA - IMEDIR)es_ES
UDC.journalTitleStudies in health technology and informaticses_ES
UDC.startPage327es_ES
UDC.volume281es_ES
dc.contributor.authorAlmeida, João Rafael
dc.contributor.authorSilva, João Figueira
dc.contributor.authorMatos, Sergio
dc.contributor.authorPazos, A.
dc.contributor.authorOliveira, José Luís
dc.date.accessioned2021-06-14T08:55:33Z
dc.date.available2021-06-14T08:55:33Z
dc.date.issued2021-05-01
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.sponsorshipThis 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.sponsorshipPortugal. Fundação para a Ciência e a Tecnologia; PD/BD/142878/2018
dc.description.sponsorshipPortugal. Fundação para a Ciência e a Tecnologia; SFRH/BD/147837/2019
dc.identifier.citationAlmeida 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/SHTI210174es_ES
dc.identifier.doi10.3233/SHTI210174
dc.identifier.issn1879-8365
dc.identifier.urihttp://hdl.handle.net/2183/28082
dc.language.isoenges_ES
dc.publisherIOS Presses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/806968
dc.relation.urihttps://doi.org/10.3233/SHTI210174es_ES
dc.rightsAtribución-NoComercial 4.0 International (CC BY-NC 4.0)es_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/deed.en_US*
dc.subjectResearch question refinementes_ES
dc.subjectMedical studieses_ES
dc.subjectNLPes_ES
dc.titleA Recommender System to Help Refining Clinical Research Studieses_ES
dc.typejournal articlees_ES
dspace.entity.typePublication
relation.isAuthorOfPublicationfa192a4c-bffd-4b23-87ae-e68c29350cdc
relation.isAuthorOfPublication.latestForDiscoveryfa192a4c-bffd-4b23-87ae-e68c29350cdc

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
PazosSierra_Alejandro_2021_Recommender_System_Help_Refining.pdf
Size:
339.05 KB
Format:
Adobe Portable Document Format
Description: