Figure 3.

A. Raw waveform data from each 400-breath “read” length is extracted from the ventilator and then attributed as either belonging to an ARDS patient or a non-ARDS patient based on dual clinician diagnosis. These data are then sent to a Random Forest classifier for training. B. Test subjects are then evaluated with the trained classifier. A final diagnosis is performed by the classifier by evaluating which diagnosis received a majority of votes across all reads evaluated by the model in a given period of analysis.