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Adapting Generative Large Language Models for Information Extraction from Unstructured Electronic Health Records in Residential Aged Care: A Comparative Analysis of Training Approaches

Crossref DOI link: https://doi.org/10.1007/s41666-025-00190-z

Published Online: 2025-02-20

Published Print: 2025-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Vithanage, Dinithi https://orcid.org/0000-0001-5851-7158
Deng, Chao https://orcid.org/0000-0003-1147-5741
Wang, Lei https://orcid.org/0000-0002-0961-0441
Yin, Mengyang https://orcid.org/0000-0002-0212-4598
Alkhalaf, Mohammad

Zhang, Zhenyu https://orcid.org/0000-0003-1853-4978
Zhu, Yunshu https://orcid.org/0000-0003-2786-0775
Yu, Ping https://orcid.org/0000-0002-7910-9396
Funding

Funding for this research was provided by:

The University of Wollongong
License Information

Text and Data Mining valid from 2025-02-20

Version of Record valid from 2025-02-20
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Article History

Received: 17 May 2024

Revised: 24 January 2025

Accepted: 3 February 2025

First Online: 20 February 2025

Declarations

:

: The authors declare no competing interests.

: All authors have approved the manuscript and agree with its submission to the Journal of Healthcare Informatics Research.

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