Novel machine learning algorithm can identify patients at risk of poor overall survival following curative resection for colorectal liver metastases.

Iakovos AmygdalosGustav Müller-FranzesJan BednarschZoltan CziganyTom Florian UlmerPhilipp BrunersChristiane KuhlUlf Peter NeumannDaniel TruhnSven Arke Lang

Published in: Journal of hepato-biliary-pancreatic sciences (2022)

A GBDT model can identify high-risk patients regarding OS after curative resection of CRLM. Closer follow-up and aggressive systemic treatment strategies may be beneficial to these patients.

Keyphrases

machine learning
end stage renal disease
prognostic factors
ejection fraction
newly diagnosed
chronic kidney disease
liver metastases
peritoneal dialysis
deep learning
rectal cancer