Early Prediction of Hepatic Decompensation in Cirrhosis Using Optimised <scp>XGBoost</scp> Models at the Initial Outpatient Hepatology Visit
Optimised XGBoost models demonstrated robust predictive accuracy for medium- and long-term hepatic decompensation among patients with compensated cirrhosis. These models may support early risk stratification and enable personalised management strategies to prevent clinical deterioration.
Authors
- Caelan Stephanson
- Micah Grubert Van Iderstine (ORCID: https://orcid.org/0000-0002-4869-2400)
- Gregory Jackson (ORCID: https://orcid.org/0000-0003-2697-2417)
- Sem Perez
- Tyler Szun
- GY Minuk
- Megan Weisshaar
- Nabiha Faisal
Institutions
- University of Manitoba (CA)
Publication Details
- Journal
- Liver International
- Published
- 2026-02-23
- DOI
- https://doi.org/10.1111/liv.70560
- Primary Topic
- Liver Disease and Transplantation
- Type
- article
- Field-Weighted Citation Impact
- 0.00