Predicting deterioration of ventricular function in patients with repaired tetralogy of Fallot using machine learning

Abstract

For the prediction of deterioration in patients with rTOF, a machine learning pipeline uncovered the utility of baseline variables that was previously lost to regression analyses. The predictive models may be useful for planning early interventions in patients with high risk.