tdCoxSNN: Time-Dependent Cox Survival Neural Network for Continuous-time Dynamic Prediction

arXiv:2307.05881v2 Announce Type: replace-cross
Abstract: The aim of dynamic prediction is to provide individualized risk predictions over time, which are updated as new data become available. In pursuit of constructing a dynamic prediction model for a progressive eye disorder, age-related macular degeneration (AMD), we propose a time-dependent Cox survival neural network (tdCoxSNN) to predict its progression using longitudinal fundus images. tdCoxSNN builds upon the time-dependent Cox model by utilizing a neural network to capture the non-linear effect of time-dependent covariates …

abstract age aim amd arxiv become continuous cs.lg data dynamic network neural network prediction predictions risk stat.ml survival type