Extreme learning machine Cox model for high-dimensional survival analysis
type: Item
instance of: scholarly article
title: Extreme learning machine Cox model for high-dimensional survival analysis
zbMATH Open document ID: 1545.62627
author: Hong Wang
author: Gang Li
published in: Statistics in Medicine
publication date: 2024-10-28T00:00:00Z
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 7932959
zbMATH Keywords: censored data
zbMATH Keywords: extreme learning machine
zbMATH Keywords: machine learning
zbMATH Keywords: regularized Cox model
zbMATH Keywords: survival analysis
MaRDI profile type: Publication
cites work: Regularized Estimation for the Accelerated Failure Time Model
cites work: High-dimensional Cox models: the choice of penalty as part of the model building process
cites work: Selection of artificial neural network models for survival analysis with genetic algorithms
cites work: Bayesian Neural Network Models for Censored Data
cites work: A fast reduced kernel extreme learning machine
cites work: Q5654899
cites work: Q5456730
cites work: Random forests
cites work: Random survival forests
cites work: Hazard Rate Estimation under Random Censoring with Varying Kernels and Bandwidths
cites work: Support-vector networks
DOI: 10.1002/SIM.8090
description: scientific article; zbMATH DE number 7932959