Machine learning to predict early recurrence after oesophageal cancer surgery.

Saqib A RahmanR C WalkerM A LloydB L GraceG I van BoxelB F KingmaJ P RuurdaR van HillegersbergS HarrisS ParsonsS MercerE A GriffithsJ R O'NeillR TurkingtonR C FitzgeraldT J Underwoodnull null

Published in: The British journal of surgery (2020)

The model derived using machine learning approaches and an international data set provided excellent performance in quantifying the risk of early recurrence after surgery, and will be useful in prognostication for clinicians and patients.

Keyphrases

minimally invasive
machine learning
end stage renal disease
coronary artery bypass
ejection fraction
newly diagnosed
chronic kidney disease
big data
prognostic factors
papillary thyroid
peritoneal dialysis
surgical site infection
electronic health record