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The Applications of Large Language Models in Mental Health: Scoping Review
J Med Internet Res 2025;27:e69284
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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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