Interpretable machine learning models for pre- and postoperative prediction of early intra-abdominal infections after liver transplantation: a multicenter retrospective cohort study
Therapeutic Advances in Infectious Disease
Published online on June 24, 2026
Abstract
Therapeutic Advances in Infectious Disease, Volume 13, January-December 2026.
Background:Early intra-abdominal infections (EIAIs) are among the most frequent and life-threatening complications following liver transplantation (LT). Early identification of high-risk patients remains challenging, and no standardized risk ...
Background:Early intra-abdominal infections (EIAIs) are among the most frequent and life-threatening complications following liver transplantation (LT). Early identification of high-risk patients remains challenging, and no standardized risk ...