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Research map / Probabilistic and scientific modeling / Molecules and proteins

Deep Extended Hazard Models for Survival Analysis

NeurIPS 2021 · Probabilistic and scientific modeling › Molecules and proteins · approach: Statistical analysis of ML practice · 16 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
generalize DeepSurv (h1=0) and DeepAFT (h1=h2) to the full DeepEH with two separate network functions (ablation)deep survival models · COLON, METABRIC, RotGBSG, WHASC-indexHelped
replace linear predictors of the EH model with neural networks (DeepEH vs EH)extended hazard model · survival benchmarksC-indexHelped
use DeepEH instead of Random Survival Forestsurvival models · WHASC-indexHurt
use DeepEH instead of the other ten survival methodssurvival models · RotGBSGIBSHelped
DeepEH vs submodels (CoxPH, AFT, EH, DeepSurv, DeepAFT) (ablation)survival models · all four datasetsIBSHelped

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