PatternLab

Deep Learning for Patient-Specific Kidney Graft Survival Analysis (https://arxiv.org/abs/1705.10245)

Name		Name	Last commit message	Last commit date
Latest commit History 43 Commits
0.Train_Test_Split.ipynb		0.Train_Test_Split.ipynb
1.ROC_Curve.ipynb		1.ROC_Curve.ipynb
2.Kaplan–Meier Estimator.ipynb		2.Kaplan–Meier Estimator.ipynb
3.Cox proportional hazards model.ipynb		3.Cox proportional hazards model.ipynb
4.Survival Analysis.ipynb		4.Survival Analysis.ipynb
5.Neural Network for Survival Analysis.ipynb		5.Neural Network for Survival Analysis.ipynb
6.Neural Network for Survival Analysis - 2.ipynb		6.Neural Network for Survival Analysis - 2.ipynb
Presentation - 1.pdf		Presentation - 1.pdf
Presentation - 4.pdf		Presentation - 4.pdf
Presentation - 5(updated)(011161145).pdf		Presentation - 5(updated)(011161145).pdf
Presentation-2.pdf		Presentation-2.pdf
Presentation-3(011161145)-converted.pdf		Presentation-3(011161145)-converted.pdf
Presentation-4.2.pptx		Presentation-4.2.pptx
Presentation-5-011151264.pdf		Presentation-5-011151264.pdf
README.md		README.md
Survival & Hazard Function(011 151 264).pdf		Survival & Hazard Function(011 151 264).pdf
Survival Analysis - 1.py		Survival Analysis - 1.py
data train_test_split.py		data train_test_split.py
deep learning(011161145).pdf		deep learning(011161145).pdf

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