A comprehensive EHR timeseries pre-training benchmark
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
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ACM
2022
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Online Access: | https://hdl.handle.net/1721.1/143906 |
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author | McDermott, Matthew Nestor, Bret Kim, Evan Zhang, Wancong Goldenberg, Anna Szolovits, Peter Ghassemi, Marzyeh |
author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory McDermott, Matthew Nestor, Bret Kim, Evan Zhang, Wancong Goldenberg, Anna Szolovits, Peter Ghassemi, Marzyeh |
author_sort | McDermott, Matthew |
collection | MIT |
first_indexed | 2024-09-23T15:40:47Z |
format | Article |
id | mit-1721.1/143906 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T15:40:47Z |
publishDate | 2022 |
publisher | ACM |
record_format | dspace |
spelling | mit-1721.1/1439062023-01-09T21:53:32Z A comprehensive EHR timeseries pre-training benchmark McDermott, Matthew Nestor, Bret Kim, Evan Zhang, Wancong Goldenberg, Anna Szolovits, Peter Ghassemi, Marzyeh Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory 2022-07-20T18:32:48Z 2022-07-20T18:32:48Z 2021 2022-07-20T18:27:59Z Article http://purl.org/eprint/type/ConferencePaper https://hdl.handle.net/1721.1/143906 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. en 10.1145/3450439.3451877 Proceedings of the Conference on Health, Inference, and Learning Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf ACM ACM |
spellingShingle | McDermott, Matthew Nestor, Bret Kim, Evan Zhang, Wancong Goldenberg, Anna Szolovits, Peter Ghassemi, Marzyeh A comprehensive EHR timeseries pre-training benchmark |
title | A comprehensive EHR timeseries pre-training benchmark |
title_full | A comprehensive EHR timeseries pre-training benchmark |
title_fullStr | A comprehensive EHR timeseries pre-training benchmark |
title_full_unstemmed | A comprehensive EHR timeseries pre-training benchmark |
title_short | A comprehensive EHR timeseries pre-training benchmark |
title_sort | comprehensive ehr timeseries pre training benchmark |
url | https://hdl.handle.net/1721.1/143906 |
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