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dc.contributor.authorRaghu, Aniruddh
dc.contributor.authorGuttag, John
dc.contributor.authorYoung, Katherine
dc.contributor.authorPomerantsev, Eugene
dc.contributor.authorDalca, Adrian V
dc.contributor.authorStultz, Collin M
dc.date.accessioned2022-06-29T15:18:50Z
dc.date.available2022-06-29T15:18:50Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/143589
dc.language.isoen
dc.publisherACMen_US
dc.relation.isversionof10.1145/3450439.3451869en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleLearning to predict with supporting evidence: applications to clinical risk predictionen_US
dc.typeArticleen_US
dc.identifier.citationRaghu, Aniruddh, Guttag, John, Young, Katherine, Pomerantsev, Eugene, Dalca, Adrian V et al. 2021. "Learning to predict with supporting evidence: applications to clinical risk prediction." Proceedings of the Conference on Health, Inference, and Learning.
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
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.contributor.departmentHarvard University--MIT Division of Health Sciences and Technology
dc.relation.journalProceedings of the Conference on Health, Inference, and Learningen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-06-29T15:12:16Z
dspace.orderedauthorsRaghu, A; Guttag, J; Young, K; Pomerantsev, E; Dalca, AV; Stultz, CMen_US
dspace.date.submission2022-06-29T15:12:18Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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