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Combination of Large Language Model and Retrieval-augmented Generation for Inference of Traditional Chinese Medicine Prescriptions and Syndrome Differentiations: A Study on Sleeping Disorders

Crossref DOI link: https://doi.org/10.1007/s40846-025-00988-7

Published Online: 2025-10-24

Published Print: 2025-10

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

Authors

Huang, PoYu https://orcid.org/0000-0001-7650-2603
Wang, ChihNung

Lu, ShaoHung

Chan, YaChuan

Chen, ZhiLiang

Lin, WenChen

Chiu, Jung-Peng

Chen, YungHsin
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Text and Data Mining valid from 2025-10-01

Version of Record valid from 2025-10-24
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Article History

Received: 21 May 2025

Accepted: 7 October 2025

First Online: 24 October 2025

Declarations

:

: The authors declare that they have no conflict of interest.

: All medical data collected and used in this study was under IRB approval (IRB Number: TCHIRB-11305005) from Taipei City Hospital Research Ethics Committee on June 05, 2024. This is an IRB-approved study, all patient information was de-identified and patient consent was not required. Patient data will not be shared with third parties.

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