Cargando…
A dynamic Bayesian network model for predicting organ failure associations without predefining outcomes
Critical care medicine has been a field for Bayesian networks (BNs) application for investigating relationships among failing organs. Criticisms have been raised on using mortality as the only outcome to determine the treatment efficacy. We aimed to develop a dynamic BN model for detecting interrela...
Autores principales: | De Blasi, Roberto Alberto, Campagna, Giuseppe, Finazzi, Stefano |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8081190/ https://www.ncbi.nlm.nih.gov/pubmed/33909682 http://dx.doi.org/10.1371/journal.pone.0250787 |
Ejemplares similares
-
Shear transformations in metallic glasses without excessive and predefinable defects
por: Zhang, Zhen, et al.
Publicado: (2022) -
The Effect of Aging on Resting State Connectivity of Predefined Networks in the Brain
por: Varangis, Eleanna, et al.
Publicado: (2019) -
Indirect Recognition of Predefined Human Activities
por: Majidzadeh Gorjani, Ojan, et al.
Publicado: (2020) -
Validation of the mean systemic filling pressure assessment with preserved arterial blood flow by comparing two methods of calculation
por: De Blasi, Roberto Alberto, et al.
Publicado: (2021) -
Semi-Interpenetrating Polymer Networks with Predefined Architecture for Metal Ion Fluorescence Monitoring
por: Christodoulou, Kyriakos, et al.
Publicado: (2016)