dc.contributor | Turmo Borras, Jorge |
dc.contributor.author | Medina Herrera, Salvador |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Ciències de la Computació |
dc.date.accessioned | 2018-06-15T12:52:02Z |
dc.date.available | 2018-06-15T12:52:02Z |
dc.date.issued | 2017-01-25 |
dc.identifier.uri | http://hdl.handle.net/2117/118117 |
dc.description.abstract | In this work, we propose a bootstrapping strategy so as to enrich anonymization models for Catalan medical reports taking profit of huge sets of unlabeled documents. |
dc.language.iso | eng |
dc.publisher | Universitat Politècnica de Catalunya |
dc.subject | Àrees temàtiques de la UPC::Informàtica |
dc.subject.lcsh | Information resources management |
dc.subject.other | anonymization |
dc.subject.other | de-identification |
dc.subject.other | nlp |
dc.subject.other | lstm |
dc.subject.other | crf |
dc.title | Bootstrapping for electronic health record anonymization with minimal supervision |
dc.title.alternative | Automatic anonymization of clinical documents with very low density of personal information |
dc.type | Master thesis |
dc.subject.lemac | Gestió de la informació |
dc.identifier.slug | 131833 |
dc.rights.access | Open Access |
dc.date.updated | 2018-01-31T05:00:13Z |
dc.audience.educationlevel | Màster |
dc.audience.mediator | Facultat d'Informàtica de Barcelona |
dc.audience.degree | MÀSTER UNIVERSITARI EN INTEL·LIGÈNCIA ARTIFICIAL (Pla 2017) |