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Advancing Non-Invasive Ventilation Decision-Support Through Multicenter Machine Learning
DOI:10.1016/j.chstcc.2026.100268.png)
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引用论文
An updated HACOR score for predicting the failure of noninvasive ventilation: a multicenter prospective observational study
CRITICAL CARE
IF9.3
Leveraging electronic health records for data science: common pitfalls and how to avoid them
LANCET DIGITAL HEALTH
IF24.1
Assessment of heart rate, acidosis, consciousness, oxygenation, and respiratory rate to predict noninvasive ventilation failure in hypoxemic patients评估低氧血症患者的心率,酸中毒,意识,氧合作用和呼吸频率以预测无创通气失败
INTENSIVE CARE MEDICINE
IF21.2
A clinical guide to non-invasive respiratory support in acute respiratory failure: ventilation settings, technical optimization and clinical indications急性呼吸衰竭的非侵入性呼吸支持临床指南:通气设置、技术优化和临床指征
Critical Care
IF9.3
Validity of a clinical scale in predicting the failure of non-invasive ventilation in hypoxemic patients临床量表预测低氧血症患者无创通气失败的有效性
Non-invasive ventilation for acute hypoxemic respiratory failure: intubation rate and risk factors
CRITICAL CARE
IF9.3
Official ERS/ATS clinical practice guidelines: noninvasive ventilation for acute respiratory failure
Prediction of noninvasive ventilation failure using the ROX index in patients with de novo acute respiratory failure使用ROX指数预测新发急性呼吸衰竭患者的无创通气失败
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