Trustworthy artificial intelligence for personalized healthcare decision making: development of open and safe measures, models and methods

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dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorLahti, Lauri
dc.contributor.departmentTietotekniikan laitosfi
dc.contributor.departmentDepartment of Computer Scienceen
dc.contributor.schoolPerustieteiden korkeakoulufi
dc.contributor.schoolSchool of Scienceen
dc.date.accessioned2021-10-25T09:00:10Z
dc.date.available2021-10-25T09:00:10Z
dc.date.issued2021
dc.description.abstractOur DIHEML research project develops open and safe measures, models and methods that can support personalized healthcare decision making with trustworthy artificial intelligence addressing carefully patient's rights and data privacy regulation. With our new methodology statistically significant rating differences of questionnaire answers can be linked to machine learning results thus enabling to develop better machine learning for well-personalized care.en
dc.description.versionPeer revieweden
dc.format.extent1
dc.format.mimetypeapplication/pdfen
dc.identifier.citationLahti, Lauri. 2021. Trustworthy artificial intelligence for personalized healthcare decision making: development of open and safe measures, models and methods. Proceedings of the 7th International Symposium ICF Education, 23-24 October 2021. 1.en
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/110601
dc.identifier.urnURN:NBN:fi:aalto-202110259779
dc.language.isoenen
dc.publisherICFen
dc.publisherICFfi
dc.relation.ispartofProceedings of the 7th International Symposium ICF Education, 23-24 October 2021en
dc.rights© 2021 Lauri Lahti.en
dc.rights.holderLauri Lahti
dc.subject.keywordpersonalized healthcare decision makingen
dc.subject.keywordartificial intelligenceen
dc.subject.keywordmachine learningen
dc.subject.keywordpatient’s rightsen
dc.subject.keywordethicsen
dc.subject.keywordhealthcare guidelinesen
dc.subject.keywordopen access dataen
dc.subject.keywordtrustworthyen
dc.subject.keywordinterpretableen
dc.subject.otherComputer scienceen
dc.subject.otherEducationen
dc.subject.otherMedical sciencesen
dc.subject.otherPsychologyen
dc.titleTrustworthy artificial intelligence for personalized healthcare decision making: development of open and safe measures, models and methodsen
dc.typeA4 Artikkeli konferenssijulkaisussafi
dc.type.dcmitypetexten
dc.type.versionPost printen
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