Development of a neural network model for predicting glucose levels in a surgical critical care setting

Development of neural network models for the prediction of glucose levels in critically ill patients through the application of continuous glucose monitoring may provide enhanced patient outcomes. Here we demonstrate the utilization of a predictive model in real-time bedside monitoring. Such modelin...

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Detalles Bibliográficos
Autores principales: Pappada, Scott M, Borst, Marilyn J, Cameron, Brent D, Bourey, Raymond E, Lather, Jason D, Shipp, Desmond, Chiricolo, Antonio, Papadimos, Thomas J
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2944194/
https://www.ncbi.nlm.nih.gov/pubmed/20828400
http://dx.doi.org/10.1186/1754-9493-4-15

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2944194/
https://www.ncbi.nlm.nih.gov/pubmed/20828400
http://dx.doi.org/10.1186/1754-9493-4-15

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