Decision support of inspired oxygen selection based on Bayesian learning of pulmonary gas exchange parameters

To investigate if the real-time Bayesian learning of physiological model parameters can be used to support and improve the selection of inspired oxygen fraction. Supporting the selection of inspired oxygen fraction relies on predictions of arterial oxygen saturation. The efficacy of using these pred...

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