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dc.contributor.authorZhang, Minfan
dc.contributor.authorEhrmann, Daniel
dc.contributor.authorMazwi, Mjaye
dc.contributor.authorEytan, Danny
dc.contributor.authorGhassemi, Marzyeh
dc.contributor.authorChevalier, Fanny
dc.date.accessioned2022-11-09T19:27:19Z
dc.date.available2022-11-09T19:27:19Z
dc.date.issued2022-04-29
dc.identifier.isbn978-1-4503-9157-3
dc.identifier.urihttps://hdl.handle.net/1721.1/146272
dc.publisherACM|CHI Conference on Human Factors in Computing Systemsen_US
dc.relation.isversionofhttps://doi.org/10.1145/3491102.3501887en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceACM|CHI Conference on Human Factors in Computing Systemsen_US
dc.titleGet To The Point! Problem-Based Curated Data Views To Augment Care For Critically Ill Patientsen_US
dc.typeArticleen_US
dc.identifier.citationZhang, Minfan, Ehrmann, Daniel, Mazwi, Mjaye, Eytan, Danny, Ghassemi, Marzyeh et al. 2022. "Get To The Point! Problem-Based Curated Data Views To Augment Care For Critically Ill Patients."
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Science
dc.identifier.mitlicensePUBLISHER_POLICY
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-11-03T00:38:13Z
dc.language.rfc3066en
dc.rights.holderACM
dspace.date.submission2022-11-03T00:38:14Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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