| dc.contributor.author | McDermott, Matthew | |
| dc.contributor.author | Nestor, Bret | |
| dc.contributor.author | Kim, Evan | |
| dc.contributor.author | Zhang, Wancong | |
| dc.contributor.author | Goldenberg, Anna | |
| dc.contributor.author | Szolovits, Peter | |
| dc.contributor.author | Ghassemi, Marzyeh | |
| dc.date.accessioned | 2022-07-20T18:32:48Z | |
| dc.date.available | 2022-07-20T18:32:48Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/143906 | |
| dc.language.iso | en | |
| dc.publisher | ACM | en_US |
| dc.relation.isversionof | 10.1145/3450439.3451877 | en_US |
| dc.rights | Creative Commons Attribution 4.0 International license | en_US |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
| dc.source | ACM | en_US |
| dc.title | A comprehensive EHR timeseries pre-training benchmark | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | McDermott, Matthew, Nestor, Bret, Kim, Evan, Zhang, Wancong, Goldenberg, Anna et al. 2021. "A comprehensive EHR timeseries pre-training benchmark." Proceedings of the Conference on Health, Inference, and Learning. | |
| dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | |
| dc.relation.journal | Proceedings of the Conference on Health, Inference, and Learning | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.date.updated | 2022-07-20T18:27:59Z | |
| dspace.orderedauthors | McDermott, M; Nestor, B; Kim, E; Zhang, W; Goldenberg, A; Szolovits, P; Ghassemi, M | en_US |
| dspace.date.submission | 2022-07-20T18:28:00Z | |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
