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

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 c...

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Bibliographic Details
Main Authors: Rocco J LaFaro, Suryanarayana Pothula, Keshar Paul Kubal, Mario Emil Inchiosa, Venu M Pothula, Stanley C Yuan, David A Maerz, Lucresia Montes, Stephen M Oleszkiewicz, Albert Yusupov, Richard Perline, Mario Anthony Inchiosa
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4692524?pdf=render

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http://europepmc.org/articles/PMC4692524?pdf=render

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