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arXiv · 2404.10761

TorchSurv: A Lightweight Package for Deep Survival Analysis

Mélodie Monod·Peter Krusche·Qian Cao·Berkman Sahiner·Nicholas Petrick·David Ohlssen·Thibaud Coroller
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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 models. 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.

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Mélodie Monod, Peter Krusche, Qian Cao, Berkman Sahiner, Nicholas Petrick, David Ohlssen, Thibaud Coroller. 2024-04-16. TorchSurv: A Lightweight Package for Deep Survival Analysis. https://arxiv.org/abs/2404.10761

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