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Constructing Artificial Neural Networks for Censored Survival Data from Statistical Models

  • Antonio Ciampi
  • Yves Lechevallier
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

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.

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References

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Copyright information

© Springer-Verlag Berlin · Heidelberg 2000

Authors and Affiliations

  • Antonio Ciampi
    • 1
    • 2
  • Yves Lechevallier
    • 3
  1. 1.Department of Epidemiology and BiostatisticsMcGill UniversityMontrealCanada
  2. 2.IARCLyonFrance
  3. 3.INRIA-RocquencourtLe Chesnay CedexFrance

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