| dc.contributor.author | McCoy, Liam G | |
| dc.contributor.author | Banja, John D | |
| dc.contributor.author | Ghassemi, Marzyeh | |
| dc.contributor.author | Celi, Leo Anthony G. | |
| dc.date.accessioned | 2020-12-11T19:50:44Z | |
| dc.date.available | 2020-12-11T19:50:44Z | |
| dc.date.issued | 2020-11 | |
| dc.identifier.issn | 2632-1009 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/128820 | |
| dc.description.sponsorship | National Institute of Health (Grant R01-EB017205) | en_US |
| dc.publisher | BMJ | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1136/bmjhci-2020-100237 | en_US |
| dc.rights | Creative Commons Attribution NonCommercial License 4.0 | en_US |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | en_US |
| dc.source | BMJ Health & Care Informatics | en_US |
| dc.title | Ensuring machine learning for healthcare works for all | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | McCoy, Liam G. et al. "Ensuring machine learning for healthcare works for all." BMJ Health and Care Informatics 27, 3 (November 2020): e100237 © 2020 Author(s) | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Institute for Medical Engineering & Science | en_US |
| dc.contributor.department | Harvard--MIT Program in Health Sciences and Technology. Laboratory for Computational Physiology | en_US |
| dc.relation.journal | BMJ Health and Care Informatics | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dspace.date.submission | 2020-12-09T13:18:51Z | |
| mit.journal.volume | 27 | en_US |
| mit.journal.issue | 3 | en_US |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Complete | |
