A comprehensive EHR timeseries pre-training benchmark

Bibliographic Details
Main Authors: McDermott, Matthew, Nestor, Bret, Kim, Evan, Zhang, Wancong, Goldenberg, Anna, Szolovits, Peter, Ghassemi, Marzyeh
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: ACM 2022
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
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institution Massachusetts Institute of Technology
language English
last_indexed 2024-09-23T15:40:47Z
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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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