Prediction of mortality following pediatric heart transplant using machine learning algorithms.
Rebecca MillerDmitry TuminJennifer CooperDon HayesJoseph D TobiasPublished in: Pediatric transplantation (2019)
ML algorithms demonstrated fair predictive utility in both training and testing data, but the sensitivity of these algorithms was generally poor. With the registry missing data on many determinants of long-term survival, the ability of ML methods to predict mortality after pediatric HTx may be fundamentally limited.