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April 16, 2024Open Access

TorchSurv: A Lightweight Package for Deep Survival Analysis

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Authors

MMMélodie MonodPKPeter KruscheQCQian Cao

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Cite This Study

Monod et al. (2024) studied this question.

synapsesocial.com/papers/68e6f03ab6db64358766a89fhttps://doi.org/10.48550/arxiv.2404.10761
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1sparsesurv: A Python package for fitting sparse survival models via knowledge distillation2024
  2. 2DeepSurv: A machine learning model for predicting mortality in very-low-birth-weight infants treated in intensive care units2025
  3. 3Training Survival Models using Scoring Rules2024
  4. 4ResSurv: Cancer Survival Analysis Prediction Model Based on Residual Networks2024
  5. 5Survival modeling using deep learning, machine learning and statistical methods: A comparative analysis for predicting mortality after hospital admission2024 · 3 citations