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Dipolar regression trees in survival analysis

Krętowska M.

Biocybernetics and Biomedical Engineering

2004

Vol. 24, no. 3

25-33

In this paper a new method for induction of multivariate regression trees is presented. The technique is designed for the survival time prediction and based on given data. The proposed method aims at identification of subgroups of patients with homogenous survival experience i.e. homogenous response for a given treatment. The method allows using information from censored cases for which the exact failure time is unknown. An appropriate degree of generalization is obtained by using a pruning algorithm, which is based on rank correlation coefficient D.