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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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2015
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4692524/
https://ncbi.nlm.nih.gov/pubmed/26710254
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0145395
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