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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Bibliographic Details
Main Author: Clermont, Gilles
Format: Online
Language:English
Published: BioMed Central 2005
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1175945/