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TorchSurv: A Lightweight Package for Deep Survival Analysis
April 17, 2024, 4:42 a.m. | Melodie Monod, Peter Krusche, Qian Cao, Berkman Sahiner, Nicholas Petrick, David Ohlssen, Thibaud Coroller
cs.LG updates on arXiv.org arxiv.org
Abstract: TorchSurv is a Python package that serves as a companion tool to perform deep survival modeling within the PyTorch environment. Unlike existing libraries that impose specific parametric forms, TorchSurv enables the use of custom PyTorch-based deep survival mod- els. With its lightweight design, minimal input requirements, full PyTorch backend, and freedom from restrictive survival model parameterizations, TorchSurv facilitates efficient deep survival model implementation and is particularly beneficial for high-dimensional and complex input data scenarios
abstract analysis arxiv companion cs.lg design environment forms libraries modeling package parametric python pytorch requirements survival tool type
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