| dc.contributor.author | Ghassemi, Marzyeh | |
| dc.contributor.author | Nsoesie, Elaine Okanyene | |
| dc.date.accessioned | 2022-07-13T20:30:57Z | |
| dc.date.available | 2022-07-13T18:01:44Z | |
| dc.date.available | 2022-07-13T20:30:57Z | |
| dc.date.issued | 2022-01 | |
| dc.identifier.issn | 2666-3899 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/143725.2 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier BV | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1016/j.patter.2021.100392 | en_US |
| dc.rights | Creative Commons Attribution-NonCommercial-NoDerivs License | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
| dc.source | Elsevier | en_US |
| dc.title | In medicine, how do we machine learn anything real? | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Ghassemi, Marzyeh and Nsoesie, Elaine Okanyene. 2022. "In medicine, how do we machine learn anything real?." Patterns, 3 (1). | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.contributor.department | Massachusetts Institute of Technology. Institute for Medical Engineering & Science | |
| dc.relation.journal | Patterns | 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 |
| dc.date.updated | 2022-07-13T17:56:15Z | |
| dspace.orderedauthors | Ghassemi, M; Nsoesie, EO | en_US |
| dspace.date.submission | 2022-07-13T17:56:16Z | |
| mit.journal.volume | 3 | en_US |
| mit.journal.issue | 1 | en_US |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Authority Work Needed | en_US |
