Controlling nutritional status score predicts posthepatectomy liver failure: an online interpretable machine learning prediction model.
Journal:
European journal of gastroenterology & hepatology
Published Date:
Mar 5, 2025
Abstract
BACKGROUND AND AIMS: Posthepatectomy liver failure (PHLF) remains a severe complication after hepatectomy for hepatocellular carcinoma (HCC) and accurate preoperative evaluation and predictive measures are urgently needed. We investigated the impact of the controlling nutritional status (CONUT) score on PHLF and utilized machine learning (ML) algorithms to identify high-risk individuals of PHLF.
