Machine learning models including preoperative and postoperative albumin-bilirubin score: short-term outcomes among patients with hepatocellular carcinoma.
Journal:
HPB : the official journal of the International Hepato Pancreato Biliary Association
PMID:
39098450
Abstract
BACKGROUND: We sought to assess the impact of various perioperative factors on the risk of severe complications and post-surgical mortality using a novel maching learning technique.
Authors
Keywords
Aged
Bilirubin
Carcinoma, Hepatocellular
Databases, Factual
Female
Hepatectomy
Hospital Mortality
Humans
Liver Neoplasms
Machine Learning
Male
Middle Aged
Postoperative Complications
Predictive Value of Tests
Retrospective Studies
Risk Assessment
Risk Factors
Serum Albumin
Serum Albumin, Human
Time Factors
Treatment Outcome