DeepSurv
Visit ToolDeepSurv is a deep learning tool for survival analysis, generalizing the Cox proportional hazards model. It adaptively learns covariates, eliminating the need for a priori selection.
At a glance
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DeepSurv is a deep learning tool for survival analysis, generalizing the Cox proportional hazards model. It adaptively learns covariates, eliminating the need for a priori selection.
Trending
About
DeepSurv implements a deep learning generalization of the Cox proportional hazards model using Theano and Lasagne. This approach offers an advantage over traditional Cox regression by adaptively learning covariates, removing the need for their a priori selection. The tool is versatile and can be applied in numerous survival analysis applications. A notable medical application, `recommend_treatment`, is provided, which offers treatment recommendations for patient observations. DeepSurv is open-source and provides clear instructions for installation, dependency management, running experiments with Docker, and training/evaluating networks, making it accessible for technical users in research and development.
Capabilities
Pricing & Plans
Open Source
Free
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