Combining logistic regression and neural networks to create predictive models.
作者信息
Spackman K A
机构信息
Biomedical Information Communication Center, Oregon Health Sciences University, Portland.
出版信息
Proc Annu Symp Comput Appl Med Care. 1992:456-9.
Abstract
Neural networks are being used widely in medicine and other areas to create predictive models from data. The statistical method that most closely parallels neural networks is logistic regression. This paper outlines some ways in which neural networks and logistic regression are similar, shows how a small modification of logistic regression can be used in the training of neural network models, and illustrates the use of this modification for variable selection and predictive model building with neural networks.
摘要
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Combining logistic regression and neural networks to create predictive models.
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本文引用的文献
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