Cargando…
Logistic regression model can reduce unnecessary artificial liver support in hepatitis B virus-associated acute-on-chronic liver failure: decision curve analysis
BACKGROUND: Several models have been proposed to predict the short-term outcome of acute-on-chronic liver failure (ACLF) after treatment. We aimed to determine whether better decisions for artificial liver support system (ALSS) treatment could be made with a model than without, through decision curv...
Autores principales: | Qin, Gang, Bian, Zhao-Lian, Shen, Yi, Zhang, Lei, Zhu, Xiao-Hong, Liu, Yan-Mei, Shao, Jian-Guo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4893223/ https://www.ncbi.nlm.nih.gov/pubmed/27260306 http://dx.doi.org/10.1186/s12911-016-0302-7 |
Ejemplares similares
-
Artificial liver support system therapy in acute-on-chronic hepatitis B liver failure: Classification and regression tree analysis
por: Huang, Kaizhou, et al.
Publicado: (2019) -
Comparison of Artificial Neural Network and Logistic Regression Models for Predicting In-Hospital Mortality after Primary Liver Cancer Surgery
por: Shi, Hon-Yi, et al.
Publicado: (2012) -
Risk factors and prediction of acute kidney injury after liver transplantation: Logistic regression and artificial neural network approaches
por: Bredt, Luis Cesar, et al.
Publicado: (2022) -
A Comparison of Logistic Regression Model and Artificial Neural Networks in Predicting of Student’s Academic Failure
por: Teshnizi, Saeed Hosseini, et al.
Publicado: (2015) -
A Novel Backward Stepwise Logistic Regression and Classification and Regression Tree Model to Predict 180-day Clinical Outcomes in Hepatitis B Virus-acute-on-chronic Liver Failure Patients
por: Ghavimi, Shima
Publicado: (2021)