Implementation of the DeepHit model for survival analysis with competing risks using PyTorch
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Jul 2, 2026 - Python
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deephit
Here are 7 public repositories matching this topic...
Survival analysis for Big Data
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Mar 20, 2022 - Jupyter Notebook
The transition probabilities for 25 transitions from initial state to each intermediate and absorbing states were estimated using a Kaplan-Meier test through the wide-format datset. Transition probabilities for hazard functions were estimated using the lifelines package in Python within a Visual Studio Code integrated development environment.
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Jan 14, 2025 - Jupyter Notebook
Methodology research comparing statistical and ML methods of competing risks analysis
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Mar 9, 2024 - R
A complete pipeline to train and test DeepHit time to event prediction model using synthetic data including right censored data with competing risk.
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Jun 17, 2025 - HTML
Multi-modal deep learning for graft survival prediction from HLA typing and clinical data (PyTorch research prototype)
bioinformatics deep-learning pytorch survival-analysis cox-regression multi-modal hla deephit transplantation
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May 27, 2026 - Python
Credibility test of digital twins as synthetic control arms: does a survival model trained on one SUPPORT2 population predict a different population's real outcomes?
pytorch survival-analysis clinical-trials model-calibration kaplan-meier synthetic-control digital-twin healthcare-ml cox-proportional-hazards deephit
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Aug 31, 2026 - Python
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