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Likelihood contrasts: a machine learning algorithm for binary classification of longitudinal data

Laura L. Elo; Riku Klén; Markku Karhunen

dc.contributor.authorLaura L. Elo
dc.contributor.authorRiku Klén
dc.contributor.authorMarkku Karhunen
dc.date.accessioned2022-10-28T13:54:52Z
dc.date.available2022-10-28T13:54:52Z
dc.identifier.urihttps://www.utupub.fi/handle/10024/168241
dc.description.abstract<p>Machine learning methods have gained increased popularity in biomedical research during the recent years. However, very few of them support the analysis of longitudinal data, where several samples are collected from an individual over time. Additionally, most of the available longitudinal machine learning methods assume that the measurements are aligned in time, which is often not the case in real data. Here, we introduce a robust longitudinal machine learning method, named likelihood contrasts (LC), which supports study designs with unaligned time points. Our LC method is a binary classifier, which uses linear mixed models for modelling and log-likelihood for decision making. To demonstrate the benefits of our approach, we compared it with existing methods in four simulated and three real data sets. In each simulated data set, LC was the most accurate method, while the real data sets further supported the robust performance of the method. LC is also computationally efficient and easy to use.<br /></p>
dc.language.isoen
dc.publisherSpringer Nature
dc.titleLikelihood contrasts: a machine learning algorithm for binary classification of longitudinal data
dc.identifier.urnURN:NBN:fi-fe2021042824234
dc.relation.volume10
dc.contributor.organizationfi=tyks, vsshp|en=tyks, vsshp|
dc.contributor.organizationfi=PET perustoiminta|en=PET Basic Operations|
dc.contributor.organizationfi=biotiedekeskuksen yhteiset|en=Biotiedekeskuksen yhteiset|
dc.contributor.organizationfi=Turun biotiedekeskus|en=Turku Bioscience Centre|
dc.contributor.organization-code2609201
dc.contributor.organization-code2609200
dc.contributor.organization-code2609810
dc.converis.publication-id47865391
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/47865391
dc.identifier.eissn2045-2323
dc.identifier.jour-issn2045-2322
dc.okm.affiliatedauthorKlén, Riku
dc.okm.affiliatedauthorElo, Laura
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline3111 Biolääketieteetfi_FI
dc.okm.discipline3111 Biomedicineen_GB
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityInternational publication
dc.okm.typeJournal article
dc.publisher.countryUnited Kingdomen_GB
dc.publisher.countryBritanniafi_FI
dc.publisher.country-codeGB
dc.relation.articlenumber1016
dc.relation.doi10.1038/s41598-020-57924-9
dc.relation.ispartofjournalScientific Reports
dc.relation.issue1
dc.year.issued2020


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