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

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. Indicators...

Descripción completa

Detalles Bibliográficos
Autores principales: Zheng, Jing, Li, Jianjun, Zhang, Zhengyu, Yu, Yue, Tan, Juntao, Liu, Yunyu, Gong, Jun, Wang, Tingting, Wu, Xiaoxin, Guo, Zihao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500933/
https://www.ncbi.nlm.nih.gov/pubmed/37704966
http://dx.doi.org/10.1186/s12876-023-02949-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500933/
https://www.ncbi.nlm.nih.gov/pubmed/37704966
http://dx.doi.org/10.1186/s12876-023-02949-3

Ejemplares similares