DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network

2 Jun 2016Jared KatzmanUri ShahamJonathan BatesAlexander CloningerTingting JiangYuval Kluger

Medical practitioners use survival models to explore and understand the relationships between patients' covariates (e.g. clinical and genetic features) and the effectiveness of various treatment options. Standard survival models like the linear Cox proportional hazards model require extensive feature engineering or prior medical knowledge to model treatment interaction at an individual level... (read more)

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