Interpretable machine learning models for pre- and postoperative prediction of early intra-abdominal infections after liver transplantation: a multicenter retrospective cohort study

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 stratification tool is currently available. Objective: To...

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Detalles Bibliográficos

Principais autores:	Shuang Cao, Hua-Bin Peng, Xin-Zhe Wei, Lei Wang, Ying Liu, Wei Qu, Zhi-Gui Zeng, Hai-Ming Zhang, Lin Wei, Hao-Feng Xiong, Fei Hou, Zhi-Jun Zhu, Wei Gao, Li-Ying Sun
Formato:	Artigo
Idioma:	Inglês
Publicado:	SAGE Publishing 2026-06-01
Series:	Therapeutic Advances in Infectious Disease
Acceso en liña:	https://doi.org/10.1177/20499361261453152
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