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    • Pulmonary gas exchange evaluated by machine learning a computer simulation
    Authors: Thomas J., Morgan; Adrian N., Langley; Robin D. C., Barrett;  Advisor: -;  Co-Author: - (2023)

    Using computer simulation we investigated whether machine learning (ML) analysis of selected ICU monitoring data can quantify pulmonary gas exchange in multi-compartment format. A 21 compartment ventilation/perfusion (V/Q) model of pulmonary blood flow processed 34,551 combinations of cardiac output, hemoglobin concentration, standard P50, base excess, VO2 and VCO2 plus three model-defining parameters: shunt, log SD and mean V/Q.