time-to-event

There are 3 repositories under time-to-event topic.

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 323
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
Language:Python 249
robi56 / Survival-Analysis-using-Deep-Learning
This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
bayesian-inference cancer-research deep-learning gaussian-processes healthcare machine-learning survival-analysis time-series time-to-event
213
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 102
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 102
MI2DataLab / survshap
SurvSHAP(t): Time-dependent explanations of machine learning survival models
biostatistics brier-scores censored cox-model cox-regression cph explainable explainable-ai interpretable learning machine machinelearning model probabilistic-machine-learning shap survival survival-analysis time-to-event variable-importance xai
Language:Jupyter Notebook 81
JuliaStats / Survival.jl
Survival analysis in Julia
cox-regression julia kaplan-meier statistics survival-analysis time-to-event
Language:Julia 73
sebp / survival-cnn-estimator
Tutorial on survival analysis using TensorFlow.
convolutional-neural-networks deep-learning notebook survival-analysis tensorflow time-to-event tutorial
Language:Jupyter Notebook 47
RyanWangZf / SurvTRACE
SurvTRACE: Transformers for Survival Analysis with Competing Events
survival-analysis time-to-event
Language:Python 45
sauravmishra1710 / Heart-Failure-Condition-And-Survival-Analysis
Perform a survival analysis based on the time-to-event (death event) for the subjects. Compare machine learning models to assess the likelihood of a death by heart failure condition. This can be used to help hospitals in assessing the severity of patients with cardiovascular diseases and heart failure condition.
healthcare-application healthcare-datasets machine-learning machine-learning-algorithms exploratory-data-analysis data-visualization lgbm xgboost-algorithm cardiovascular-diseases cox-regression heartfailure kaplan-meier-plot kaplanmeierfitter survival-analysis time-to-event
Language:Jupyter Notebook 41
paidamoyo / adversarial_time_to_event
ICML 2018: "Adversarial Time-to-Event Modeling"
survival-analysis time-to-event statistical-machine-learning healthcare-application deep-learning
Language:Python 37
vollmersj / SurvivalAnalysis.jl
A survival analysis interface for Julia
julia survival-analysis time-to-event
Language:Julia 31
i6092467 / vadesc
A probabilistic model to cluster survival data in a variational deep clustering setting
clustering deep-learning machine-learning survival-analysis time-to-event variational-autoencoder
Language:Jupyter Notebook 28
xxl4tomxu98 / NASA-Jet-Engine-Maintenance
ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification
fault-detection-classification predictive-maintenance remaining-useful-life-prediction predictive-logistics condition-based-maintenance prognostics-health-management realtime-predictive-analytics anomaly-detection fault-detection embeded-systems health-management failure-modes survival-analysis degradation-population-distribution component-failure-distribution censored-data churn-analytics time-to-event time-varying-covariates reliability-analysis
Language:Jupyter Notebook 28
fife
IDA-HumanCapital / fife
Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecasting
competing-risks forecasting forecasting-models machine-learning multivariate-time-series panel-analysis survival-analysis time-series-analysis time-to-event
Language:Python 22
LongxingTan / python-profeld
ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python
survival-analysis time-to-event weibull-distribution time-to-failure remaining-useful-life predictive-maintenance data-science machine-learning profeld tensorflow
Language:Python 21
graemeleehickey / joineR
R package for fitting joint models to time-to-event and longitudinal data
biostatistics competing-risks cox joiner longitudinal-data r r-package repeated-measurements repeated-measures statisics statistical-methods survival survival-analysis time-to-event
Language:R 18
paidamoyo / survival_cluster_analysis
ACM CHIL 2020: "Survival Cluster Analysis"
bayesian-nonparametrics clustering deep-learning dirichlet-process latent-representations survival-analysis time-to-event
Language:Jupyter Notebook 17
kkholst / mets
Analysis of Multivariate Event Times https://kkholst.github.io/mets/
multivariate-time-to-event r survival-analysis time-to-event
Language:R 15
scientific-computing-solutions / eventPrediction
Event Prediction in Clinical Trials with Time-to-Event Outcomes
r-package r-language clinical-trials time-to-event statistics
Language:R 13
thbuerg / NeuralCVD
🫀 Code for "Neural network-based integration of polygenic and clinical information: Development and validation of a prediction model for 10 year risk of major adverse cardiac events in the UK Biobank cohort" 🫀
cardiovascular-disease pytorch pytorch-lightning risk-modeling survival-analysis time-to-event ukbiobank
Language:Jupyter Notebook 13
machiela-lab / UKBBcleanR
Prepare electronic medical record data from the UK Biobank for time-to-event analyses
data-processing electronic-medical-records r r-package rstats rstats-package time-to-event uk-biobank
Language:R 11
paidamoyo / counterfactual_survival_analysis
ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"
causal-inference counterfactual-inference hazard-ratios kaplan-meier representation-learning survival-analysis time-to-event
Language:Jupyter Notebook 11
contefranz / msmtools
msmtools introduces a fast and general method for restructuring classical longitudinal datasets into augmented ones.
time-to-event multi-state-models survival-analysis markov-model msm r-package
Language:R 9
xs018 / SurvReLU
[CIKM '24] SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks
interpretability oblique-decision-tree survival-analysis time-to-event data-mining data-science
9
KarlaMonterrubioG / CompRisksVignettes
Supplementary material for the paper: A review on competing risks methods for survival analysis
biostatistics competing-risks cox-re event-modeling fine-gray-model r-packages statistical-models survival-analysis survival-models time-to-event
Language:HTML 7
OnofriAndreaPG / drcSeedGerm
An R package for seed germination assays
nonlinear-regression r seed-germination-assays time-to-event
Language:R 5
scientific-computing-solutions / eventTools
Extension to the eventPrediction package for N-piecewise Weibull and lagtimes
r-package r-language clinical-trials time-to-event statistics
Language:R 4
SemenovLab / Early-Stage-Melanoma-Recurrence-Prediction
Early-Stage Melanoma Recurrence Prediction
classification early-stage time-to-event melanoma-recurrence
Language:Jupyter Notebook 4
muskang48 / SurvCI
SurvCI & SurvCI-Info:Counterfactual Inference using Balanced Representations for Parametric Deep Survival Analysis
causal-inference counterfactual-inference deep-neural-networks python survival-analysis time-to-event
Language:Python 3
neural-tangjie / NTJ-AIMed_2_Prognosis
:octocat: This repository contains the notes, codes, assignments, quizzes and other additional materials about the course "AI for Medical Prognosis" from DeepLearning.AI Coursera.
c-index censored-data decision-tree hazard heart-disease imputation kaplan-meier linear-model missing-data mortality-rates numpy overfitting pandas prognosis risk-model survival time-to-event concordance-index
Language:Jupyter Notebook 3
thecml / UE-BNNSurv
Official TensorFlow implementation of Uncertainty Estimation in Deep Bayesian Survival Models (BHI 2023)
bayesian-inference bayesian-neural-networks deep-learning survival-analysis time-to-event
Language:Jupyter Notebook 3
adibender / pammtutorial-smj
Code and materials to reproduce graphics in "A generalized additive model approach to time-to-event analysis"
r rstats piece-wise-exponential generalized-additive-models survival-analysis time-to-event latex tutorial supplemental-materials
Language:TeX 2
archettialberto / federated_survival_datasets
Build realistic heterogeneous datasets for federated survival analysis in a reproducible way.
data-preparation dataset datasets federated-learning heterogeneity survival-analysis time-to-event
Language:Jupyter Notebook 2
paidamoyo / calibration_uncertainty_t2e
IEEE TNNLS 2020: "Calibration and Uncertainty in Neural Time-to-Event Modeling"
uncertainty calibration survival-analysis time-to-event statistical-machine-learning healthcare-application kaplan-meier
2
seungjae2525 / GSAMU
GSAMU: Sensitivity analysis for effects of multiple exposures in the presence of unmeasured confounding: non-Gaussian and time-to-event outcomes
multiple-exposures non-gaussian r sensitivity-analysis time-to-event unmeasured-confounding
Language:R 2

time-to-event

autonlab / auton-survival

sktime / skpro

robi56 / Survival-Analysis-using-Deep-Learning

kokikwbt / predictive-maintenance

ModelOriented / survex

MI2DataLab / survshap

JuliaStats / Survival.jl

sebp / survival-cnn-estimator

RyanWangZf / SurvTRACE

sauravmishra1710 / Heart-Failure-Condition-And-Survival-Analysis

paidamoyo / adversarial_time_to_event

vollmersj / SurvivalAnalysis.jl

i6092467 / vadesc

xxl4tomxu98 / NASA-Jet-Engine-Maintenance

IDA-HumanCapital / fife

LongxingTan / python-profeld

graemeleehickey / joineR

paidamoyo / survival_cluster_analysis

kkholst / mets

scientific-computing-solutions / eventPrediction

thbuerg / NeuralCVD

machiela-lab / UKBBcleanR

paidamoyo / counterfactual_survival_analysis

contefranz / msmtools

xs018 / SurvReLU

KarlaMonterrubioG / CompRisksVignettes

OnofriAndreaPG / drcSeedGerm

scientific-computing-solutions / eventTools

SemenovLab / Early-Stage-Melanoma-Recurrence-Prediction

muskang48 / SurvCI

neural-tangjie / NTJ-AIMed_2_Prognosis

thecml / UE-BNNSurv

adibender / pammtutorial-smj

archettialberto / federated_survival_datasets

paidamoyo / calibration_uncertainty_t2e

seungjae2525 / GSAMU