Neural Network Prediction of ICU Length of Stay Following Cardiac Surgery Based on Pre-Incision Variables

BACKGROUND: Advanced predictive analytical techniques are being increasingly applied to clinical risk assessment. This study compared a neural network model to several other models in predicting the length of stay (LOS) in the cardiac surgical intensive care unit (ICU) based on pre-incision patient...

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Detalles Bibliográficos
Autores principales: LaFaro, Rocco J., Pothula, Suryanarayana, Kubal, Keshar Paul, Inchiosa, Mario Emil, Pothula, Venu M., Yuan, Stanley C., Maerz, David A., Montes, Lucresia, Oleszkiewicz, Stephen M., Yusupov, Albert, Perline, Richard, Inchiosa, Mario Anthony
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4692524/
https://www.ncbi.nlm.nih.gov/pubmed/26710254
http://dx.doi.org/10.1371/journal.pone.0145395

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4692524/
https://www.ncbi.nlm.nih.gov/pubmed/26710254
http://dx.doi.org/10.1371/journal.pone.0145395

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