Development and validation of a model to predict survival in colorectal cancer using a gradient-boosted machine.

Jean Emmanuel BibaultDaniel T ChangLei Xing

Published in: Gut (2020)

We trained and validated a model with prospective data from a large multicentre cohort of patients. The model has high predictive performances at the individual scale. It could be used to discuss treatment strategies.

Keyphrases

end stage renal disease
newly diagnosed
ejection fraction
clinical trial
peritoneal dialysis
randomized controlled trial
deep learning
machine learning
body composition
patient reported
artificial intelligence
high intensity