Ke-Yan Liu

Construction and validation of explainable machine learning models to predict in-hospital mortality for patients with acute type A aortic dissection surgery

An explainable RF model to predict in-hospital mortality after ATAAD surgery is developed and internally validated and is best regarded as a promising preliminary rule-out/triage tool that requires multicenter external validation before clinical use.