Figure 1.

Machine learning prediction model, prediction horizons. We developed a set multi-horizon machine learning prediction models. The models explored the prediction of ECMO use at certain data-free hours in advance termed prediction horizons. The prediction horizons were fixed for all patients and varied from 0 to 48 h. For predictions at each prediction horizon, we included measurements in the time interval from ICU admission to either discharge (for non-ECMO patients) or ECMO initiation (for ECMO patients) minus prediction horizon hours. ECMO: extracorporeal membrane oxygenation; ICU: intensive care unit.