We propose a unified and flexible framework for ensemble learning in the presence of censoring. For right-censored data, we introduce a random forest algorithm and a generic gradient boosting algorithm for the construction of prognostic and diagnostic models. The methodology is utilized for predicting the survival time of patients suffering from acute myeloid leukemia based on clinical and gene...

In the paper the comparison of ensemble based methods applied to censored survival data was conducted. Bagging survival trees, dipolar survival tree ensemble and random forest were taken into consideration. The prediction ability was evaluated by the integrated Brier score, the prediction measure developed for survival data. Two real datasets with different percentage of censored observations w...

We study random cutting down of a rooted tree and show that the number of cuts is equal (in distribution) to the number of records in the tree when edges (or vertices) are assigned random labels. Limit theorems are given for this number, in particular when the tree is a random conditioned Galton–Watson tree. We consider both the distribution when both the tree and the cutting (or labels) are ra...

In the real world, it is very difficult for fish farmers to select perfect species aquaculture in a specific aquatic environment. The main goal of this research build machine learning that can predict an paper, we have utilized model using random forest (RF). To validate model, used dataset environment 11 different fishes. species, characteristics including pH, temperature, and turbidity. As pe...

Taking the invention patents of C9 League from 2002 to 2020 as samples, a random survival forest model is established predict dynamic time-point patent transfer cycle. By ranking variables based on importance, it found that countries citing, non-patent citations and backward have significant impacts C-index, Brier score integrated are used measure discrimination calibration ability four differe...

Background: In many studies, Cox regression was used to assess the important factors that affect the survival of cancer patients based on demographic and clinical variables. The aim of this study was to determine the factors affecting the survival of patients with Hodgkin's lymphoma using the random survival forest (RSF) method and compare it with the Cox model. Methods: In this retrospective ...