A new machine-learning-based prediction of survival in patients with end-stage liver disease

Abstract

The shortage of grafts for liver transplantation requires risk stratification and adequate allocation rules. This study aims to improve the model of end-stage liver disease (MELD) score for 90-day mortality prediction with the help of different machine-learning algorithms.

Keywords

• end-stage liver disease
• il-6
• machine-learning
• meld
• risk stratification
• survival estimation