Deep learning-based doctor recommendations for public staffing emergency shifts

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dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.advisorNiemenoja, Oskar
dc.contributor.authorGardemeister, Joni
dc.contributor.schoolPerustieteiden korkeakoulufi
dc.contributor.supervisorSolin, Arno
dc.date.accessioned2020-10-25T18:05:20Z
dc.date.available2020-10-25T18:05:20Z
dc.date.issued2020-10-20
dc.format.extent54
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/47131
dc.identifier.urnURN:NBN:fi:aalto-202010256017
dc.language.isoenen
dc.programmeMaster’s Programme in Computer, Communication and Information Sciencesfi
dc.programme.majorMachine Learning, Data Science and Artificial Intelligencefi
dc.programme.mcodeSCI3044fi
dc.subject.keyworddeep learningen
dc.subject.keywordhealthcareen
dc.subject.keywordemployee recommendationsen
dc.subject.keywordjob content factorsen
dc.subject.keywordmachine learningen
dc.subject.keywordshift planningen
dc.titleDeep learning-based doctor recommendations for public staffing emergency shiftsen
dc.titleSyväoppimispohjaiset lääkärisuositukset julkisenpuolen henkilöstövuokrauksen päivystysvuoroihinfi
dc.typeG2 Pro gradu, diplomityöfi
dc.type.ontasotMaster's thesisen
dc.type.ontasotDiplomityöfi
local.aalto.electroniconlyyes
local.aalto.openaccessno

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