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dc.date.accessioned2013-05-23T10:24:26Z
dc.date.available2013-05-23T10:24:26Z
dc.date.issued2012en_US
dc.date.submitted2012-08-01en_US
dc.identifier.citationBruce, Lars-Erik. Processing Electronic Medical Records. Masteroppgave, University of Oslo, 2012en_US
dc.identifier.urihttp://hdl.handle.net/10852/34162
dc.description.abstractNatural Language Processing and Information Extraction systems can annotate free text with meta-data, thus making it possible to automate processes within clinical care as well as helping medical research gain insight into the tremendous amount of data which lies hidden in electronic medical records. In this thesis we will present an overview of recent developments of methods and resources used in intelligent and robust systems that can extract accurate meta-data automatically from unstructured sources. We will focus on the use of ontologies as a mean to extract information. Further we will evaluate a modern IE system by using its structured output to automatically diagnosing patients based on their discharge summary.eng
dc.language.isoengen_US
dc.titleProcessing Electronic Medical Records : Ontology-Driven Information Extraction and Structuring in the Clinical Domainen_US
dc.typeMaster thesisen_US
dc.date.updated2013-05-21en_US
dc.creator.authorBruce, Lars-Eriken_US
dc.subject.nsiVDP::420en_US
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft.au=Bruce, Lars-Erik&rft.title=Processing Electronic Medical Records&rft.inst=University of Oslo&rft.date=2012&rft.degree=Masteroppgaveen_US
dc.identifier.urnURN:NBN:no-32906en_US
dc.type.documentMasteroppgaveen_US
dc.identifier.duo167629en_US
dc.contributor.supervisorJan Tore Lønning, Arild Waaleren_US
dc.identifier.bibsys131986562en_US
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/34162/2/bruce-master.pdf


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