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dc.contributor.author
Fernandez, Elmer Andres  
dc.contributor.author
Valtuille, Rodolfo  
dc.contributor.author
Willshaw, Peter  
dc.contributor.author
Balzarini, Monica Graciela  
dc.date.available
2024-08-09T10:56:11Z  
dc.date.issued
2008-04  
dc.identifier.citation
Fernandez, Elmer Andres; Valtuille, Rodolfo; Willshaw, Peter; Balzarini, Monica Graciela; Partial Least Squares Regression: A Valuable Method for Modeling Molecular Behavior in Hemodialysis; Springer; Annals Of Biomedical Engineering; 36; 7; 4-2008; 1305-1313  
dc.identifier.issn
0090-6964  
dc.identifier.uri
http://hdl.handle.net/11336/242165  
dc.description.abstract
The aim of this work was to use the Partial Least Squares Regression (PLS) technique to fit simple models for the interpretation of an underlying complex process. In this study, the technique was used to build a statistical model for molecular kinetic data obtained from hemodialyzed patients. By using PLS we derived statistical linear models for the prediction of the equilibrated urea concentration. Models with an average relative prediction error (RPE) of less than 0.05% were achieved. The model predictive accuracy was evaluated in a cross-center study yielding an RPE < 3%. The chosen model was robust to variations such as sampling extraction time demonstrating a high capacity for modeling kinetics. It also was found to be useful for bed-side monitoring. Finally, the PLS technique allowed identification of the most important co-variables in the model and of those patients with outlier patterns in their molecular dynamics.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Springer  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
KINETIC MODELING  
dc.subject
EQUILIBRATED UREA  
dc.subject
HEMODIALYSIS ADEQUACY  
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STATISTICAL MODELING  
dc.subject.classification
Biotecnología relacionada con la Salud  
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Biotecnología de la Salud  
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CIENCIAS MÉDICAS Y DE LA SALUD  
dc.title
Partial Least Squares Regression: A Valuable Method for Modeling Molecular Behavior in Hemodialysis  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2024-08-08T15:51:31Z  
dc.journal.volume
36  
dc.journal.number
7  
dc.journal.pagination
1305-1313  
dc.journal.pais
Alemania  
dc.journal.ciudad
Berlín  
dc.description.fil
Fil: Fernandez, Elmer Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Católica de Córdoba; Argentina  
dc.description.fil
Fil: Valtuille, Rodolfo. No especifíca;  
dc.description.fil
Fil: Willshaw, Peter. Swansea University; Reino Unido  
dc.description.fil
Fil: Balzarini, Monica Graciela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba; Argentina  
dc.journal.title
Annals Of Biomedical Engineering  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s10439-008-9492-1  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s10439-008-9492-1