Adapting tabular foundation models with an MTLR survival head produces competitive or superior C-index scores on MIMIC-IV (0.856) and eICU (0.797) compared to DeepSurv and zero-shot baselines.
Continuous and discrete-time survival prediction with neural networks.Lifetime Data Analysis, 27(4):710–736, October 2021
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Tabular Foundation Models for Clinical Survival Analysis via Survival-Aware Adaptation
Adapting tabular foundation models with an MTLR survival head produces competitive or superior C-index scores on MIMIC-IV (0.856) and eICU (0.797) compared to DeepSurv and zero-shot baselines.
- KAPLAN: Kolmogorov-Arnold Prognostic Learnable Activation Networks for Survival Analysis