Use of Machine Learning to Screen for Acute Respiratory Distress Syndrome Using Raw Ventilator Waveform Data.

Gregory B Rehm,Irene Cortés-Puch,Brooks T Kuhn,Jimmy Nguyen,Sarina A Fazio,Michael A Johnson,Nicholas R Anderson,Chen-Nee Chuah,Jason Y Adams

Critical care explorations（2021）

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摘要

Use of machine learning and physiologic information derived from raw ventilator waveform data may enable acute respiratory distress syndrome screening at early time points after intubation. This approach, combined with traditional diagnostic criteria, could improve timely acute respiratory distress syndrome recognition and enable automated clinical decision support, especially in settings with limited availability of conventional diagnostic tests and electronic health records.

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关键词

acute respiratory distress syndrome,classification,critical care,mechanical ventilation,population surveillance,respiratory failure

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