Algorithm Predicts Post-Transplantation Survival

A machine-learning algorithm could offer personalized predictions of life expectancy following lung transplantation, research suggests.

The random survival forests (RSF) model had “excellent performance” in predicting both survival overall and at the specific time points of one month and a year, revealed the researchers. Read more in Inside Precision Medicine.