Show simple item record

dc.contributorRodríguez Hontoria, Horacio
dc.contributor.authorDou, Yunxuan
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2019-04-05T11:47:40Z
dc.date.available2019-04-05T11:47:40Z
dc.date.issued2019-01
dc.identifier.urihttp://hdl.handle.net/2117/131360
dc.description.abstractAutomatically extracted the relations between the clinical findings and treatments in EMRs. It is a process of detecting and classifying the semantic relation between entities in medical texts. We built a supervised SVM classifier with implementing the task-orientated feature pruning.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subject.lcshBiomedical engineering
dc.subject.lcshDatabases
dc.subject.otherNLP
dc.subject.otherrelation extraction
dc.subject.otherclassification
dc.subject.othermedical
dc.subject.otherbiomedical
dc.subject.otherSVM
dc.subject.otherinformation extraction
dc.titleAutomatically extracting relations between clinical findingand treatment from clinical texts
dc.title.alternativeAutomatic extraction of medical relations between anatomical entities and clinical signs
dc.typeMaster thesis
dc.subject.lemacEnginyeria biomèdica
dc.subject.lemacBases de dades
dc.identifier.slug138118
dc.rights.accessOpen Access
dc.date.updated2019-01-31T12:42:29Z
dc.audience.educationlevelMàster
dc.audience.mediatorFacultat d'Informàtica de Barcelona


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder