Cargando…
A novel time series analysis approach for prediction of dialysis in critically ill patients using echo-state networks
BACKGROUND: Echo-state networks (ESN) are part of a group of reservoir computing methods and are basically a form of recurrent artificial neural networks (ANN). These methods can perform classification tasks on time series data. The recurrent ANN of an echo-state network has an 'echo-state'...
Autores principales: | Verplancke, T, Van Looy, S, Steurbaut, K, Benoit, D, De Turck, F, De Moor, G, Decruyenaere, J |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2828418/ https://www.ncbi.nlm.nih.gov/pubmed/20092639 http://dx.doi.org/10.1186/1472-6947-10-4 |
Ejemplares similares
-
Novel time series analysis approach for prediction of dialysis in critically ill patients using echo-state networks
por: Verplancke, T, et al.
Publicado: (2009) -
Support vector machine versus logistic regression modeling for prediction of hospital mortality in critically ill patients with haematological malignancies
por: Verplancke, T, et al.
Publicado: (2008) -
A novel approach for prediction of tacrolimus blood concentration in liver transplantation patients in the intensive care unit through support vector regression
por: Van Looy, Stijn, et al.
Publicado: (2007) -
Prediction of the tacrolimus blood concentration in liver transplantation patients with support vector regression during an intensive care unit stay
por: Verplancke, T, et al.
Publicado: (2007) -
Prediction of hospital mortality by classification trees and smoothing splines in patients with haematological malignancies admitted to the ICU
por: Verplancke, T, et al.
Publicado: (2009)