Clinical Data based XGBoost Algorithm for infection risk prediction of patients with decompensated cirrhosis: a 10-year (2012–2021) Multicenter Retrospective Case-control study

Clinical Data based XGBoost Algorithm for infection risk prediction of patients with decompensated cirrhosis: a 10-year (2012–2021) Multicenter Retrospective Case-control study

Abstract Objectives To appraise effective predictors for infection in patients with decompensated cirrhosis (DC) by using XGBoost algorithm in a retrospective case-control study. Methods Clinical data were retrospectively collected from 6,648 patients with DC admitted to five tertiary hospitals. Ind...

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Bibliographic Details
Main Authors: Jing Zheng, Jianjun Li, Zhengyu Zhang, Yue Yu, Juntao Tan, Yunyu Liu, Jun Gong, Tingting Wang, Xiaoxin Wu, Zihao Guo
Format: Article
Language:English
Published: BMC 2023-09-01
Series:BMC Gastroenterology
Subjects:
Decompensated cirrhosis
Infection
XGBoost algorithm
Prediction model
Multicenter
Online Access:https://doi.org/10.1186/s12876-023-02949-3

Internet

https://doi.org/10.1186/s12876-023-02949-3

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