Citation

Please cite as:

Agmon S, Singer U, Radinsky K

Leveraging Temporal Trends for Training Contextual Word Embeddings to Address Bias in Biomedical Applications: Development Study

JMIR AI 2024;3:e49546

DOI: 10.2196/49546

PMID: 39357045

PMCID: 11483253

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Accepted for/Published in: JMIR AI

Date Submitted: Jun 2, 2023

Date Accepted: Jul 28, 2024

The final, peer-reviewed published version of this preprint can be found here:

Leveraging Temporal Trends for Training Contextual Word Embeddings to Address Bias in Biomedical Applications: Development Study

Agmon S, Singer U, Radinsky K

Leveraging Temporal Trends for Training Contextual Word Embeddings to Address Bias in Biomedical Applications: Development Study

JMIR AI 2024;3:e49546

DOI: 10.2196/49546

PMID: 39357045

PMCID: 11483253

Accepted Manuscript

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

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JMIR Preprints

Accepted for/Published in: JMIR AI

Date Submitted: Jun 2, 2023

Date Accepted: Jul 28, 2024

JMIR Preprints

Accepted for/Published in: JMIR AI

Date Submitted: Jun 2, 2023

Date Accepted: Jul 28, 2024

Per the author's request this version is not available.