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#large language models Open access Oct 2026

DTKF: a sepsis early prediction framework based on large language model semantic augmentation and dual-teacher knowledge distillation

Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. Early and accurate prediction is crucial for reducing mortality. However, clinical settings often face challenges such as data scarcity, class imbalance, and the underutilization of unstructured clinical notes. Existing...

Yitian Zhang, Xinlei Ji, Huijie Zhang et al. · 0 citations

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