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Enhancing Extubation Failure Prediction with LLM-Derived Features from Respiratory Therapy Clinical Notes
Invasive mechanical ventilation is a lifesaving therapy, but timely, safe discontinuation is essential to preventing extubation failure (EF) and related risks to health. We present a novel approach to EF prediction that leverages features classified in free-text respiratory therapy notes using a lar
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