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TransformEHR: transformer-based encoder-decoder generative model to enhance prediction of disease outcomes using electronic health records

Published Online: 2023-11-29

Authors

Yang, Zhichao https://orcid.org/0000-0002-2797-4257
Mitra, Avijit

Liu, Weisong

Berlowitz, Dan

Yu, Hong https://orcid.org/0000-0001-9263-5035
Funding

Funding for this research was provided by:

U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (R01MH125027)

U.S. Department of Health & Human Services | NIH | National Institute on Drug Abuse (R01DA056470)

U.S. Department of Health & Human Services | NIH | National Institute on Aging (R01AG080670)

U.S. Department of Veterans Affairs (I01HX003711)
License Information

Text and Data Mining valid from 2023-11-29

Version of Record valid from 2023-11-29
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Article History

Received: 3 May 2023

Accepted: 17 November 2023

First Online: 29 November 2023

Competing interests

: The authors declare no competing interests.

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