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About this paper
Jared Katzman, Uri Shaham, Jonathan Bates, Alexander Cloninger, Tingting Jiang, Yuval Kluger
DeepSurv replaces Cox regression’s linear risk score with a neural network, estimating each patient’s risk under each treatment to generate individualized recommendations. In simulation, it recovered constructed treatment-specific risk patterns. In a cross-study breast-cancer comparison, recommendation-matched patients had median survival of 40.099 versus 31.770 months; this association does not establish that following recommendations improves survival.
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