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While prior research primarily focused on English EHR data and general bleeding event detection, such as the study by Li et al that used a Hybrid CNN-LSTM Autoencoder for sentence-level bleeding detection, and a more recent work that applied retrieval augmented generation with large language models for detecting nonsurgical major bleeding events in English EHRs [20], our investigation centers on the identification of major bleeding events within Chinese EHR.
JMIR Form Res 2025;9:e66189
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Additionally, the authorship’s degrees were previously listed as:
Mengdan Li, MD; Zhifu Yu, MD; Hui Li, MD; Li Cao, BM; Huihui Yu, MD; Ning Deng, Ph D; Yunyong Liu, MD
These have been replaced as follows:
Mengdan Li, MPH; Zhifu Yu, MPH; Hui Li, MSN; Li Cao, BSN; Huihui Yu, MPH; Ning Deng, MD; Yunyong Liu, MM
The correction will appear in the online version of the paper on the JMIR Publications website on November 6, 2024, together with the publication of this correction notice.
JMIR Serious Games 2024;12:e67718
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