Cargando…
Development and performance assessment of novel machine learning models to predict pneumonia after liver transplantation
BACKGROUND: Pneumonia is the most frequently encountered postoperative pulmonary complications (PPC) after orthotopic liver transplantation (OLT), which cause high morbidity and mortality rates. We aimed to develop a model to predict postoperative pneumonia in OLT patients using machine learning (ML...
Autores principales: | Chen, Chaojin, Yang, Dong, Gao, Shilong, Zhang, Yihan, Chen, Liubing, Wang, Bohan, Mo, Zihan, Yang, Yang, Hei, Ziqing, Zhou, Shaoli |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8011203/ https://www.ncbi.nlm.nih.gov/pubmed/33789673 http://dx.doi.org/10.1186/s12931-021-01690-3 |
Ejemplares similares
-
An explainable supervised machine learning predictor of acute kidney injury after adult deceased donor liver transplantation
por: Zhang, Yihan, et al.
Publicado: (2021) -
Development and validation of a practical machine learning model to predict sepsis after liver transplantation
por: Chen, Chaojin, et al.
Publicado: (2023) -
N-Acetylcysteine inhalation improves pulmonary function in patients received liver transplantation
por: Li, Xiaoyun, et al.
Publicado: (2018) -
Cellular senescence in ischemia/reperfusion injury
por: Chen, Chaojin, et al.
Publicado: (2022) -
Intravenous Anesthetic Protects Hepatocyte from Reactive Oxygen Species-Induced Cellular Apoptosis during Liver Transplantation In Vivo
por: Yao, Weifeng, et al.
Publicado: (2018)