Competing Risks and Survival Tree Ensemble

  • Małgorzata Krętowska
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7267)


In the paper the ensemble of dipolar trees for analysis of competing risks is proposed. The tool is build on the base of the learning sets, which contain the data from clinical studies following patients response for a given treatment. In case of competing risks many types of response are investigated. The proposed method is able to cope with incomplete (censored) observations and as a result, for a given set of covariates and a type of event, returns the aggregated cumulative incidence function.


Random Forest Failure Time Survival Tree Cumulative Incidence Function Single Survival Tree 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Małgorzata Krętowska
    • 1
  1. 1.Faculty of Computer ScienceBialystok University of TechnologyBiałystokPoland

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