Constructing Artificial Neural Networks for Censored Survival Data from Statistical Models
Studies in classification, data analysis, and knowledge organizationPublished 1 January 2000
Antonio Ciampi, Yves Lechevallier
Citations4
SJR quartileQ4
SJR score0.13
SNIP0.15
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TL;DR
A general approach to the design and training of ANNs for censored survival data is presented, with statistical models used as building blocks that provide efficient initialization and an aid to interpretation.
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.
Keywords
Computer ScienceMathematicsHealth Professions
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