Dipolar regression trees in survival analysis

• Autorzy: Krętowska M.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

survival analysis; dipolar criterion function; regression tree

PL

analiza przeżycia; dipolowa funkcja kryterium; drzewo regresji

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2004
• Tom: Vol. 24, no. 3
• Strony: 25--33
• Opis fizyczny: Bibliogr. 13 poz., rys., wykr.

Twórcy

autor

Krętowska M.

• Białystok Technical University, Faculty of Computer Science, ul. Wiejska 45a, 15-352 Białystok, Poland,

Bibliografia

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