Are Limited Electronic Medical Record Follow-Up Data Sufficiently Useful for Validating the Performance of Survival Prediction Models?
PURPOSE Machine learning models that predict survival time for patients are increasingly used for clinical decision support. Validating model performance in deployment is important but challenging because the only timely source of follow-up/death data is the electronic medical record (EMR), which is known to undercaptu...