<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The analysis of survival data often aims at the prediction of failure time distribution. In cases of competing risk events, the time distributions of more than one failure are under investigation. In this paper, the comparison of two approaches to analyzing survival data with competing risks is presented. The analyses are performed by use of an ensemble of dipolar trees with and without adjustment to competing risks.</p></abstract>

The analysis of survival data often aims at the prediction of failure time distribution. In cases of competing risk events, the time distributions of more than one failure are under investigation. In this paper, the comparison of two approaches to analyzing survival data with competing risks is presented. The analyses are performed by use of an ensemble of dipolar trees with and without adjustment to competing risks.

Dipolar Tree Ensemble With and Without Adjustment to Competing Risks: Application to Medical Data

Faculty of Computer Science, Bialystok University of Technology, Poland

Studies in Logic, Grammar and Rhetoric

The analysis of survival data often aims at the prediction of failure time distribution. In cases of competing risk events, the time distributions of more than...

Dipolar Tree Ensemble With and Without Adjustment to Competing Risks: Application to Medical Data

Publié en ligne: 31 déc. 2013

Pages: 27 - 38

DOI: https://doi.org/10.2478/slgr-2013-0038

This content is open access.