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Mortality prediction models, causal effects, and end-of-life decision making in the intensive care unit

dc.contributor.authorMaley, Jason H
dc.contributor.authorWanis, Kerollos N
dc.contributor.authorYoung, Jessica G
dc.contributor.authorCeli, Leo Anthony G.
dc.date.accessioned2020-11-05T22:23:52Z
dc.date.available2020-11-05T22:23:52Z
dc.date.issued2020-10
dc.date.submitted2020-08
dc.identifier.issn2632-1009
dc.identifier.urihttps://hdl.handle.net/1721.1/128375
dc.publisherBMJen_US
dc.relation.isversionofhttp://dx.doi.org/10.1136/bmjhci-2020-100220en_US
dc.rightsCreative Commons Attribution NoDerivatives 4.0 International License.en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en_US
dc.sourceBMJen_US
dc.titleMortality prediction models, causal effects, and end-of-life decision making in the intensive care uniten_US
dc.typeArticleen_US
dc.identifier.citationMaley, Jason H. et al. "Mortality prediction models, causal effects, and end-of-life decision making in the intensive care unit." BMJ Health and Care Informatics 27, 3 (October 2020): e100220. © 2020 The Author(s)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Scienceen_US
dc.relation.journalBMJ Health and Care Informaticsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.date.submission2020-11-04T16:18:33Z
mit.journal.volume27en_US
mit.journal.issue3en_US
mit.licensePUBLISHER_CC
mit.metadata.statusComplete


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