PubMed
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Deep survival analysis for competing risk modeling with functional covariates and missing data imputation.
We introduce the Functional Competing Risk Net (FCRN), a unified deep-learning framework for discrete-time survival analysis under competing risks, which seamlessly integrates functional covariates and handles missing data within an end-to-end model. By combining an Adaptive Learnable Basis (ALB) mi
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