论文信息 - Constructing Artificial Neural Networks for Censored Survival Data from Statistical Models - 字舞流文

Constructing Artificial Neural Networks for Censored Survival Data from Statistical Models

A general approach to the design and training of ANNs for censored survival data is presented, with statistical models used as building blocks. This provides efficient initialization and an aid to interpretation.

Yves Lechevallier | Antonio Ciampi | A. Ciampi | Y. Lechevallier

[1] E Biganzoli,et al. Feed forward neural networks for the analysis of censored survival data: a partial logistic regression approach. , 1998, Statistics in medicine.

[2] Christopher M. Bishop,et al. Neural networks for pattern recognition , 1995 .

[3] A. Ciampi. Generalized regression trees , 1991 .

[4] R. Tibshirani,et al. Generalized additive models for medical research , 1986, Statistical methods in medical research.

[5] Yves Lechevallier,et al. Statistical models as building blocks of neural networks , 1997 .

[6] William Moran,et al. On the use of artificial neural networks for the analysis of survival data , 1997, IEEE Trans. Neural Networks.

[7] D. Cox,et al. Analysis of Survival Data. , 1985 .

[8] D Faraggi,et al. A neural network model for survival data. , 1995, Statistics in medicine.