Using machine learning and an ensemble of methods to predict kidney transplant survival
Fig 6
Predicted survival of the proposed model for a ‘typical’ kidney transplant recipient.
Trained on 100,000 observations and validated on 25,000 out-of-sample observations. In the out-of-sample data, an observation is considered ‘typical’ if the values are within one standard deviation of the mean for recipient age, donor age, and cold ischemia time, and the most common values from the data for recipient diabetes, recipient dialysis status, recipient medical condition, and donor hypertension status.