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. 2024 Nov 21;6:1440652. doi: 10.3389/fspor.2024.1440652

Figure 1.

Figure 1

Supervised learning workflow used to predict exercise-induced hypoxemia (EIH) in endurance-trained athletes, without oxygen saturation measurements, based on previous cardiopulmonary exercise test parameters (not all included): oxygen consumption (VO2), ventilation (VE), carbon dioxide production (VCO2), heart rate (HR). The machine learning classifies athletes as either having or not having EIH [adapted from Boudry et al. (39)].