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News/Enhancing Extubation Failure Prediction with LLM-Derived Features from Respiratory Therapy Clinical Notes
arxiv
PublishedSeptember 17, 2026 at 4:00 AM

Enhancing Extubation Failure Prediction with LLM-Derived Features from Respiratory Therapy Clinical Notes

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arXiv:2609.17532v1 Announce Type: new Abstract: 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

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