ADHAM combines additive per-covariate hazard functions with latent subgroup mixtures, and a post-training refinement merges similar subgroups without retraining.
A review of interpretable ml in healthcare: taxonomy, applications, challenges, and future directions
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ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression
ADHAM combines additive per-covariate hazard functions with latent subgroup mixtures, and a post-training refinement merges similar subgroups without retraining.