Nonlinear survival regression using artificial neural network

DOI10.1155/2013/753930zbMath1273.62243OpenAlexW2021971599WikidataQ59021449 ScholiaQ59021449MaRDI QIDQ1952485

Masoud Karimloo, Mehdi Rahgozar, Enayatollah Bakhshi, Akbar Biglarian, Mahmood Reza Gohari, Ahmad Reza Baghestani

Publication date: 31 May 2013

Published in: Journal of Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/753930

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Learning and adaptive systems in artificial intelligence (68T05) Reliability and life testing (62N05)

Related Items (1)

A comparison of parametric and semi-parametric survival models with artificial neural networks

Uses Software

• R

Cites Work

• Selection of artificial neural network models for survival analysis with genetic algorithms
• Comparison of the performance of neural network methods and Cox regression for censored survival data.
• Survival analysis. Techniques for censored and truncated data.
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