Pre-trained language models in medical code prediction – An empirical analysis

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dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.advisorJi, Shaoxiong
dc.contributor.authorHölttä, Matti
dc.contributor.schoolPerustieteiden korkeakoulufi
dc.contributor.supervisorKäpylä, Maarit
dc.date.accessioned2021-01-26T09:10:39Z
dc.date.available2021-01-26T09:10:39Z
dc.date.issued2020-12-17
dc.format.extent19+9
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/102304
dc.identifier.urnURN:NBN:fi:aalto-202101261614
dc.language.isoenen
dc.programmeAalto Bachelor’s Programme in Science and Technologyfi
dc.programme.majorTietotekniikkafi
dc.programme.mcodeSCI3095fi
dc.subject.keywordnatural language processingen
dc.subject.keywordmedical code predictionen
dc.subject.keywordmachine learningen
dc.subject.keywordpre-trained language modelsen
dc.subject.keywordBERTen
dc.titlePre-trained language models in medical code prediction – An empirical analysisen
dc.typeG1 Kandidaatintyöfi
dc.type.dcmitypetexten
dc.type.ontasotBachelor's thesisen
dc.type.ontasotKandidaatintyöfi

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