
Supervised Machine Learning Model to Predict Mortality in Patients Undergoing Venovenous Extracorporeal Membrane Oxygenation from a Nationwide Multicentre Registry
Machine learning models, specifically extreme gradient boosting and light gradient boosting, demonstrated higher accuracy than conventional models in predicting 90-day mortality for patients undergoing venovenous extracorporeal membrane oxygenation (VV-ECMO). These advanced models, outperforming existing methods like RESP and PRESERVE, show potential for improving patient selection by identifying those less likely to benefit from VV-ECMO therapy.