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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...
| Autores principales: | , , , , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Materias: | |
| 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 |