survival-analysis

There are 23 repositories under survival-analysis topic.

lifelines
CamDavidsonPilon / lifelines
Survival analysis in Python
cox-regression data-science maximum-likelihood python reliability-analysis statistics survival-analysis
Language:Python 2516
mlr-org / mlr
Machine Learning in R
machine-learning data-science tuning cran r-package predictive-modeling classification regression statistics r survival-analysis imbalance-correction tutorial mlr learners hyperparameters-optimization feature-selection multilabel-classification clustering stacking
Language:R 1668
sebp / scikit-survival
Survival analysis built on top of scikit-learn
machine-learning python scikit-learn survival-analysis
Language:Python 1240
havakv / pycox
Survival analysis with PyTorch
deep-learning machine-learning neural-networks python pytorch survival-analysis
Language:Python 936
MatthewReid854 / reliability
Reliability engineering toolkit for Python - https://reliability.readthedocs.io/en/latest/
python statistics modeling simulation data-science maximum-likelihood-estimation weibull-analysis reliability-engineering survival-analysis
Language:Python 393
square / pysurvival
Open source package for Survival Analysis modeling
survival-analysis machine-learning deep-learning python pytorch numpy
Language:HTML 366
autonlab / auton-survival
Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
survival-analysis reliability-analysis python data-science deep-learning machine-learning time-to-event counterfactual-inference regression causal-inference graphical-models
Language:Python 347
loft-br / xgboost-survival-embeddings
Improving XGBoost survival analysis with embeddings and debiased estimators
survival-analysis machine-learning
Language:Python 341
sktime / skpro
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
python sklearn data-science framework prediction machine-learning ai probability-distributions regression distributional-regression distributions failure-prediction survival-analysis survival-models survival-prediction time-to-event sktime hacktoberfest
Language:Python 285
archd3sai / Customer-Survival-Analysis-and-Churn-Prediction
In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest model to predict if a customer is going to churn and deployed a model using the flask web app.
customer-survival-analysis random-forest explainable-ai data-analysis flask-application survival-analysis shap-values partial-dependence-plot hazard customer-churn-prediction
Language:Jupyter Notebook 233
robi56 / Survival-Analysis-using-Deep-Learning
This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
survival-analysis gaussian-processes deep-learning bayesian-inference healthcare cancer-research machine-learning time-series time-to-event
220
Miscellaneous-R-Code
m-clark / Miscellaneous-R-Code
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
r stan jags matlab julia python bayesian mixed-models gaussian-processes factor-analysis pca em survival-analysis ordinal-regression probit irt mixture-model zip additive-models machine-learning
Language:R 196
gpstuff-dev / gpstuff
GPstuff - Gaussian process models for Bayesian analysis
bayesian bayesian-inference bayesian-optimization classification covariance-functions expectation-propagation gaussian-processes mcmc octave regression spatial-analysis survival-analysis variational-inference
Language:MATLAB 175
autoprognosis
vanderschaarlab / autoprognosis
A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
automl survival-analysis healthcare interpretability
Language:Python 165
torchsurv
Novartis / torchsurv
Deep survival analysis made easy
pytorch survival-analysis deep-learning
Language:Python 162
mlr3proba
mlr-org / mlr3proba
Probabilistic Learning for mlr3
density-estimation machine-learning mlr3 r r-package supervised-learning survival-analysis
Language:R 143
rk2900 / DRSA
Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementation of our AAAI 2019 paper and a benchmark for several (Python) implemented survival analysis methods.
survival-analysis deep-learning machine-learning data-science
Language:Python 143
kokikwbt / predictive-maintenance
Datasets for Predictive Maintenance
ai-engineering industry-4 machine-learning predictive-maintenance remaining-useful-life anomaly condition-based-maintenance survival-analysis anomaly-detection time-series time-series-analysis forecasting automation phm prognosis-and-health-management run-to-failure-models run-to-failure event-to-event time-to-event degradation
Language:Jupyter Notebook 139
tylermorganwall / skpr
Generates and evaluates D, I, A, Alias, E, T, G, and custom optimal designs. Supports generation and evaluation of mixture and split/split-split/N-split plot designs. Includes parametric and Monte Carlo power evaluation functions. Provides a framework to evaluate power using functions provided in other packages or written by the user.
optimal-designs rstats design-of-experiments survival-analysis power r split-plot-designs linear-models linear-regression monte-carlo
Language:R 120
survex
ModelOriented / survex
Explainable Machine Learning in Survival Analysis
biostatistics brier-scores censored-data cox-model cox-regression explainable-ai explainable-machine-learning explainable-ml explanatory-model-analysis interpretable-machine-learning interpretable-ml machine-learning probabilistic-machine-learning r r-package shap survival-analysis time-to-event variable-importance xai
Language:R 116
soda-inria / hazardous
Competing Risks and Survival Analysis
competing-risks data-science gradient-boosting machine-learning survival-analysis
Language:Python 109
liupei101 / TFDeepSurv
COX Proportional risk model and survival analysis implemented by tensorflow.
deeplearning survival-analysis cox-regression cox-model tensorflow
Language:Python 105
einatboro / awesome-survival-analysis
Resources for Survival Analysis
competing-risks cox-regression kaplan-meier-plot proportional-hazards-models survival-analysis time-dependent-covariates time-to-event-prediction
98
MI2DataLab / survshap
SurvSHAP(t): Time-dependent explanations of machine learning survival models
variable-importance biostatistics brier-scores cox-model cox-regression explainable-ai probabilistic-machine-learning shap survival-analysis time-to-event explainable interpretable machine learning cph model censored survival machinelearning xai
Language:Jupyter Notebook 93
AIM-Harvard / FaceAge
Decoding biological age from face photographs using deep learning.
deep-learning cnn age-estimation data-analysis survival-analysis biological-age
Language:Jupyter Notebook 86
nt-williams / lmtp
:package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:
causal-inference nonparametric-statistics longitudinal-data statistics machine-learning robust-statistics targeted-learning censored-data stochastic-interventions survival-analysis modified-treatment-policy precision-medicine
Language:R 75
JuliaStats / Survival.jl
Survival analysis in Julia
julia statistics survival-analysis time-to-event cox-regression kaplan-meier
Language:Julia 72
rk2900 / DLF
Deep learning for flexible market price modeling (landscape forecasting) in real-time bidding advertising. An implementation of our KDD 2019 paper with some other (Python) implemented prediction models.
deep-learning real-time-bidding market-price survival-analysis bid-landscape-forecasting
Language:Python 72
huangzhii / SALMON
SALMON: Survival Analysis Learning with Multi-Omics Neural Networks
survival-analysis neural-networks deep-learning machine-learning co-expression
Language:Python 67
caravagnalab / revolver
Tumour stratification by maximum-likelihood repeated evolution from multi-region sequencing data
phylogenetic-trees clustering survival-analysis
Language:R 66
julianspaeth / random-survival-forest
A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.
python survival-analysis survival-prediction random-survival-forests random-forest machine-learning
Language:Python 64
liupei101 / VLSA
Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology (ICLR 2025)
computational-pathology survival-analysis vision-language-model whole-slide-images
Language:Jupyter Notebook 62
RyanWangZf / SurvTRACE
SurvTRACE: Transformers for Survival Analysis with Competing Events
survival-analysis time-to-event
Language:Python 60
drizopoulos / JMbayes
Joint Models for Longitudinal and Survival Data using MCMC
joint-models longitudinal-responses survival-analysis prediction-model
Language:R 58
arturomoncadatorres / deepsurvk
Implementation of DeepSurv using Keras
survival-analysis data-science deep-learning keras tensorflow2
Language:Python 51
sdw95927 / pathology-images-analysis-using-CNN
Scripts for https://www.nature.com/articles/s41598-018-27707-4, using Convolutional Neural Network to detect lung cancer tumor area
convolutional-neural-networks pathology-image image-recognition survival-analysis
Language:Python 51