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Artificial neural networks as prediction tools in the critically ill
The past 25 years have witnessed the development of improved tools with which to predict short-term and long-term outcomes after critical illness. The general paradigm for constructing the best known tools has been the logistic regression model. Recently, a variety of alternative tools, such as arti...
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| Formato: | Texto |
| Lenguaje: | English |
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BioMed Central
2005
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1175945/ https://www.ncbi.nlm.nih.gov/pubmed/15774070 http://dx.doi.org/10.1186/cc3507 |