Development and validation of a practical machine learning model to predict sepsis after liver transplantation

BACKGROUND: Postoperative sepsis is one of the main causes of mortality after liver transplantation (LT). Our study aimed to develop and validate a predictive model for postoperative sepsis within 7 d in LT recipients using machine learning (ML) technology. METHODS: Data of 786 patients received LT...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Chaojin, Chen, Bingcheng, Yang, Jing, Li, Xiaoyue, Peng, Xiaorong, Feng, Yawei, Guo, Rongchang, Zou, Fengyuan, Zhou, Shaoli, Hei, Ziqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2023
Materias:
Surgery
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9937004/
https://www.ncbi.nlm.nih.gov/pubmed/36790357
http://dx.doi.org/10.1080/07853890.2023.2179104

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9937004/
https://www.ncbi.nlm.nih.gov/pubmed/36790357
http://dx.doi.org/10.1080/07853890.2023.2179104

Ejemplares similares