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Updated: Jan 11, 2026

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
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Published on: September 19, 2025

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通过LLM驱动的准则遵守,加强呼吸支的预测建模.

Xiaolei Lu1, Michael Miller2, Alex K Pearce2

  • 1Department of Biomedical Informatics, University of California, San Diego, La Jolla, CA, USA.

Critical care (London, England)
|November 14, 2025
PubMed
概括

将大型语言模型 (LLM) 与深度反事实模型集成,改善了重症监护室 (ICU) 患者的呼吸支持建议. 与LLM增强指南的一致性降低了侵入性机械通风 (IMV) 率,改善了患者的治疗结果.

关键词:
因果推理的原因推理.坚持指导方针的坚持.高流量鼻腔运管 鼻腔运管个性化治疗效果 个性化治疗效果大型语言模型.非侵入式通风系统的使用.

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