Continuous and discrete-time survival prediction with neural networks
type: Item
instance of: scholarly article
title: Continuous and discrete-time survival prediction with neural networks
author: Håvard Kvamme
author: Ørnulf Borgan
published in: Lifetime Data Analysis
publication date: 2022-02-04T00:00:00Z
full work available at URL: https://arxiv.org/abs/1910.06724
Mathematics Subject Classification ID: 62Nxx
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 7469154
zbMATH Keywords: time-to-event prediction
zbMATH Keywords: neural networks
zbMATH Keywords: interpolation
zbMATH Keywords: discretization
describes a project that uses: survival
describes a project that uses: pycox
describes a project that uses: DeepSurv
describes a project that uses: dynpred
MaRDI profile type: Publication
OpenAlex ID: W3202929943
cites work: On the Use of Indicator Variables for Studying the Time-Dependence of Parameters in a Response-Time Model
cites work: Q5654899
cites work: Piecewise exponential models for survival data with covariates
cites work: Q5270493
cites work: Life Tables with Concomitant Information
cites work: Random survival forests
cites work: Survival analysis. Techniques for censored and truncated data.
cites work: Q5214221
cites work: Modeling discrete time-to-event data
DOI: 10.1007/S10985-021-09532-6
description: scientific article; zbMATH DE number 7469154