Cargando…
Prediction of Multiple Organ Failure Complicated by Moderately Severe or Severe Acute Pancreatitis Based on Machine Learning: A Multicenter Cohort Study
BACKGROUND: Multiple organ failure (MOF) may lead to an increased mortality rate of moderately severe (MSAP) or severe acute pancreatitis (SAP). This study is aimed to use machine learning to predict the risk of MOF in the course of disease. METHODS: Clinical and laboratory features with significant...
Autores principales: | Xu, Fumin, Chen, Xiao, Li, Chenwenya, Liu, Jing, Qiu, Qiu, He, Mi, Xiao, Jingjing, Liu, Zhihui, Ji, Bingjun, Chen, Dongfeng, Liu, Kaijun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8112913/ https://www.ncbi.nlm.nih.gov/pubmed/34054342 http://dx.doi.org/10.1155/2021/5525118 |
Ejemplares similares
-
Lactic dehydrogenase-lymphocyte ratio for predicting prognosis of severe COVID-19
por: Li, Guojun, et al.
Publicado: (2021) -
Development and validation of three machine-learning models for predicting multiple organ failure in moderately severe and severe acute pancreatitis
por: Qiu, Qiu, et al.
Publicado: (2019) -
The Role of Gut Microbiota and Genetic Susceptibility in the Pathogenesis of Pancreatitis
por: Xu, Fumin, et al.
Publicado: (2022) -
Prediction of Disease Progression of COVID-19 Based upon Machine Learning
por: Xu, Fumin, et al.
Publicado: (2021) -
Incidence and risk factors of nasogastric feeding intolerance in moderately-severe to severe acute pancreatitis
por: Lin, Jiajia, et al.
Publicado: (2022)