Novel time series analysis approach for prediction of dialysis in critically ill patients using echo-state networks

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Detalles Bibliográficos
Autores principales: Verplancke, T, Van Looy, S, Steurbaut, K, Benoit, D, De Turck, F, De Moor, G, Decruyenaere, J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Poster Presentation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4084142/
http://dx.doi.org/10.1186/cc7420
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author Verplancke, T
Van Looy, S
Steurbaut, K
Benoit, D
De Turck, F
De Moor, G
Decruyenaere, J
author_facet Verplancke, T
Van Looy, S
Steurbaut, K
Benoit, D
De Turck, F
De Moor, G
Decruyenaere, J
author_sort Verplancke, T
collection PubMed
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spelling pubmed-40841422014-07-11 Novel time series analysis approach for prediction of dialysis in critically ill patients using echo-state networks Verplancke, T Van Looy, S Steurbaut, K Benoit, D De Turck, F De Moor, G Decruyenaere, J Crit Care Poster Presentation BioMed Central 2009 2009-03-13 /pmc/articles/PMC4084142/ http://dx.doi.org/10.1186/cc7420 Text en Copyright © 2009 Verplancke et al; licensee BioMed Central Ltd.
spellingShingle Poster Presentation
Verplancke, T
Van Looy, S
Steurbaut, K
Benoit, D
De Turck, F
De Moor, G
Decruyenaere, J
Novel time series analysis approach for prediction of dialysis in critically ill patients using echo-state networks
title Novel time series analysis approach for prediction of dialysis in critically ill patients using echo-state networks
title_full Novel time series analysis approach for prediction of dialysis in critically ill patients using echo-state networks
title_fullStr Novel time series analysis approach for prediction of dialysis in critically ill patients using echo-state networks
title_full_unstemmed Novel time series analysis approach for prediction of dialysis in critically ill patients using echo-state networks
title_short Novel time series analysis approach for prediction of dialysis in critically ill patients using echo-state networks
title_sort novel time series analysis approach for prediction of dialysis in critically ill patients using echo-state networks
topic Poster Presentation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4084142/
http://dx.doi.org/10.1186/cc7420
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