Neural Fine-Gray
Published in Conference on Health, Inference, and Learning (CHIL), 2023
The paper introduces a novel approach using constrained monotonic neural networks to address the challenge of competing risks in survival analysis, which is often overlooked by machine learning methods.
Recommended citation: Jeanselme, V., Yoon, C. H., Tom, B., Barrett, J. (2023, June). Neural Fine-Gray: Monotonic neural networks for competing risks. In Conference on Health, Inference, and Learning (pp. 379-392). PMLR. https://arxiv.org/abs/2305.06703