A natural language processing approach to support biomedical data harmonization: Leveraging large language models.

A natural language processing approach to support biomedical data harmonization: Leveraging large language models.

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<h4>Background</h4>Biomedical research requires large, diverse samples to produce unbiased results. Retrospective data harmonization is often used to integrate existing datasets to create these samples, but the process is labor-intensive. Automated methods for matching variables across d...

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Bibliographic Details
Main Authors: Zexu Li, Suraj P Prabhu, Zachary T Popp, Shubhi S Jain, Vijetha Balakundi, Ting Fang Alvin Ang, Rhoda Au, Jinying Chen
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0328262
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https://doi.org/10.1371/journal.pone.0328262

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