This paper is in the following e-collection/theme issue:

Applications of AI (68) Artificial Intelligence (1313) Natural Language Processing (674) Recruitment of Research Participants (293) New Methods (929)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49546, first published .
Leveraging Temporal Trends for Training Contextual Word Embeddings to Address Bias in Biomedical Applications: Development Study

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

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

Authors of this article:

Shunit Agmon1 Author Orcid Image ;   Uriel Singer1 Author Orcid Image ;   Kira Radinsky1 Author Orcid Image
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Shunit Agmon   1 , MSc ;   Uriel Singer   1 , PhD ;   Kira Radinsky   1 , PhD

1 Department of Computer Science, Technion—Israel Institute of Technology, Haifa, Israel

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