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Machine learning to diagnose and prognose schizophrenia: using three different approaches to examine the models’ misclassifications

dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorSchnack, H.G.
dc.contributor.authorHemker, M.M.
dc.date.accessioned2020-08-21T18:00:13Z
dc.date.available2020-08-21T18:00:13Z
dc.date.issued2020
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/36938
dc.description.sponsorshipUtrecht University
dc.format.extent4437485
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.titleMachine learning to diagnose and prognose schizophrenia: using three different approaches to examine the models’ misclassifications
dc.type.contentBachelor Thesis
dc.rights.accessrightsOpen Access
dc.subject.courseuuKunstmatige Intelligentie


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