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dc.contributor.authorBalbuena, Lloyd D.
dc.contributor.authorBaetz, Marilyn
dc.contributor.authorSexton, Joseph
dc.contributor.authorHarder, Douglas
dc.contributor.authorFeng, Cindy Xin
dc.contributor.authorBoctor, Kerstina
dc.contributor.authorLaPointe, Candace
dc.contributor.authorLetwiniuk, Elizabeth
dc.contributor.authorShamloo, Arash
dc.contributor.authorIshwaran, Hemant
dc.contributor.authorJohn, Ann
dc.contributor.authorBrantsæter, Anne Lise
dc.date.accessioned2022-07-29T12:15:25Z
dc.date.available2022-07-29T12:15:25Z
dc.date.created2022-04-27T14:01:33Z
dc.date.issued2022
dc.identifier.citationBMC Psychiatry. 2022, 22 (1), .
dc.identifier.issn1471-244X
dc.identifier.urihttps://hdl.handle.net/11250/3009176
dc.language.isoeng
dc.titleIdentifying long-term and imminent suicide predictors in a general population and a clinical sample with machine learning
dc.title.alternativeIdentifying long-term and imminent suicide predictors in a general population and a clinical sample with machine learning
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersion
dc.source.pagenumber0
dc.source.volume22
dc.source.journalBMC Psychiatry
dc.source.issue1
dc.identifier.doi10.1186/s12888-022-03702-y
dc.identifier.cristin2019561
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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