Deep Neural Networks for Survival Analysis Based on a Multi-Task Framework

This research explores the application of deep neural networks in survival analysis, employing a multi-task framework. The approach aims to enhance the prediction and modeling of time-to-event data by leveraging complex neural network architectures.