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dc.contributor.authorBertsimas, Dimitris
dc.contributor.authorBorenstein, Alison Rose Ann
dc.contributor.authorDauvin, Antonin
dc.contributor.authorOrfanoudaki, Agni
dc.date.accessioned2022-07-27T17:01:51Z
dc.date.available2022-07-27T17:01:51Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/144081
dc.language.isoen
dc.publisherWileyen_US
dc.relation.isversionof10.1002/NAV.22040en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleEnsemble machine learning for personalized antihypertensive treatmenten_US
dc.typeArticleen_US
dc.identifier.citationBertsimas, Dimitris, Borenstein, Alison Rose Ann, Dauvin, Antonin and Orfanoudaki, Agni. 2021. "Ensemble machine learning for personalized antihypertensive treatment." Naval Research Logistics (NRL), 69 (5).
dc.contributor.departmentSloan School of Management
dc.contributor.departmentMassachusetts Institute of Technology. Operations Research Center
dc.relation.journalNaval Research Logistics (NRL)en_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-07-27T16:53:48Z
dspace.orderedauthorsBertsimas, D; Borenstein, ARA; Dauvin, A; Orfanoudaki, Aen_US
dspace.date.submission2022-07-27T16:53:49Z
mit.journal.volume69en_US
mit.journal.issue5en_US
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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