Topic: survival-analysis Goto Github

👇 Here are 492 public repositories matching this topic...

actuarialintelligence / base
survival-analysis,https://www.researchgate.net/profile/Rajah_Iyer
Organization: actuarialintelligence
Home Page: http://www.actuarialintelligence.com/
graphics-engine domain-driven-design domain-driven-designstyle interpolation annuity z-spread kaplan-meier chapman-kolmogorov black-and-scholes-pricing survival-analysis miningstructure-reader readers hadoop sql n-layer framework-actuarial-reporting fluid-reporting householderqr self-augmenting-mining-structures oracle

adibender / pammtools
survival-analysis,Piece-wise exponential Additive Mixed Modeling tools
User: adibender
Home Page: https://adibender.github.io/pammtools/
r rstats survival-analysis additive-models piece-wise-exponential pamm pammtools

alexzwanenburg / familiar
survival-analysis,Repository for the familiar R-package. Familiar implements an end-to-end pipeline for interpretable machine learning of tabular data.
User: alexzwanenburg
machine-learning ai explainable-ai tabular-data survival-analysis

archd3sai / customer-survival-analysis-and-churn-prediction
survival-analysis,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.
User: archd3sai
Home Page: https://churn-prediction-app.herokuapp.com/
customer-survival-analysis random-forest explainable-ai data-analysis flask-application survival-analysis shap-values partial-dependence-plot hazard customer-churn-prediction

arturomoncadatorres / deepsurvk
survival-analysis,Implementation of DeepSurv using Keras
User: arturomoncadatorres
Home Page: https://deepsurvk.readthedocs.io/en/latest/
data-science deep-learning keras survival-analysis tensorflow2

autonlab / auton-survival
survival-analysis,Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
Organization: autonlab
Home Page: http://autonlab.github.io/auton-survival
survival-analysis reliability-analysis python data-science deep-learning machine-learning time-to-event counterfactual-inference regression causal-inference

camdavidsonpilon / lifelines
survival-analysis,Survival analysis in Python
User: camdavidsonpilon
Home Page: lifelines.readthedocs.org
survival-analysis python statistics data-science maximum-likelihood reliability-analysis cox-regression

chiragnagpal / deep_cox_mixtures
survival-analysis,Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
User: chiragnagpal
reliability-engineering reliability-analysis survival-analysis survival-prediction cox-regression cox-model

danielegiardiello / prediction_performance_survival
survival-analysis,Code repository for the manuscript: 'Assessing performance in prediction models with survival outcomes: practical guidance for Cox proportional hazards models' (published in Annals of Internal Medicine)
User: danielegiardiello
prediction survival-analysis model-validation cox-regression cox-models

derrynknife / surpyval
survival-analysis,A Python package for survival analysis. The most flexible survival analysis package available. SurPyval can work with arbitrary combinations of observed, censored, and truncated data. SurPyval can also fit distributions with 'offsets' with ease, for example the three parameter Weibull distribution.
User: derrynknife
Home Page: https://surpyval.readthedocs.io/en/latest/index.html
survival-analysis parametric-methods probability-plot parametric-distribution weibull reliability reliability-engineering churn-prediction non-parametric risk-analysis

drizopoulos / jm
survival-analysis,Joint Models for Longitudinal & Survival Data under Maximum Likelihood
User: drizopoulos
joint-models longitudinal-responses survival-analysis prediction-model

drizopoulos / jmbayes
survival-analysis,Joint Models for Longitudinal and Survival Data using MCMC
User: drizopoulos
joint-models longitudinal-responses survival-analysis prediction-model

einatboro / awesome-survival-analysis
survival-analysis,Resources for Survival Analysis
User: einatboro
competing-risks cox-regression kaplan-meier-plot proportional-hazards-models survival-analysis time-dependent-covariates time-to-event-prediction

erdogant / kaplanmeier
survival-analysis,kaplanmeier is an python library to create survival curves using kaplan-meier, and compute the log-rank test.
User: erdogant
Home Page: https://erdogant.github.io/kaplanmeier
kaplan-meier log-rank-test python survival-analysis

giabaio / survhe
survival-analysis,Survival analysis in health economic evaluation Contains a suite of functions to systematise the workflow involving survival analysis in health economic evaluation. survHE can fit a large range of survival models using both a frequentist approach (by calling the R package flexsurv) and a Bayesian perspective.
User: giabaio
Home Page: https://gianluca.statistica.it/software/survhe/
survival-analysis survival-models health-economic-evaluation hamiltonian-monte-carlo frequentist inla rstan uncertainty plotting-survival-curves

gpstuff-dev / gpstuff
survival-analysis,GPstuff - Gaussian process models for Bayesian analysis
Organization: gpstuff-dev
Home Page: http://research.cs.aalto.fi/pml/software/gpstuff/
bayesian gaussian-processes bayesian-inference bayesian-optimization classification regression survival-analysis spatial-analysis covariance-functions expectation-propagation

havakv / pycox
survival-analysis,Survival analysis with PyTorch
User: havakv
survival-analysis pytorch python machine-learning neural-networks deep-learning

huangzhii / salmon
survival-analysis,SALMON: Survival Analysis Learning with Multi-Omics Neural Networks
User: huangzhii
Home Page: https://huangzhii.github.io/SALMON/
survival-analysis neural-networks deep-learning machine-learning co-expression

i6092467 / vadesc
survival-analysis,A probabilistic model to cluster survival data in a variational deep clustering setting
User: i6092467
Home Page: https://openreview.net/forum?id=RQ428ZptQfU
clustering deep-learning machine-learning survival-analysis time-to-event variational-autoencoder

julianspaeth / random-survival-forest
survival-analysis,A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.
User: julianspaeth
python survival-analysis survival-prediction random-survival-forests random-forest machine-learning

juliastats / survival.jl
survival-analysis,Survival analysis in Julia
Organization: juliastats
julia statistics survival-analysis time-to-event cox-regression kaplan-meier

kibromberihu / ai4elife
survival-analysis,This data-centric AI repository implements a robust deep learning method (LFBNet) for fully automated tumor segmentation in whole-body [18]F-FDG PET/CT images.
User: kibromberihu
ai biomarkers data-analysis data-centric-ai deep-learning fdg-pet image-segmentation lymphoma medical-imaging pet

kokikwbt / predictive-maintenance
survival-analysis,Datasets for Predictive Maintenance
User: kokikwbt
ai-engineering industry-4 machine-learning predictive-maintenance remaining-useful-life anomaly condition-based-maintenance survival-analysis anomaly-detection time-series

kourgeorge / project-origin
survival-analysis,An Artificial Life simulator for Investigating Noogenesis
User: kourgeorge
Home Page: https://kourgeorge.github.io/project-origin/
artificial-intelligence artificial-neural-networks simulation simulator simulation-modeling machine-learning deep-neural-networks reinforcement-learning survival-analysis behaviour

liupei101 / tfdeepsurv
survival-analysis,COX Proportional risk model and survival analysis implemented by tensorflow.
User: liupei101
deeplearning survival-analysis cox-regression cox-model tensorflow

liupei101 / tutorial-machine-learning-based-survival-analysis
survival-analysis,This repository is a tutorial about survival analysis based on advanced machine learning methods including Random Forest, Gradient Boosting Tree and XGBoost. All of them are implemented in R.
User: liupei101
machine-learning survival-analysis random-forest gbm xgboost r

loft-br / xgboost-survival-embeddings
survival-analysis,Improving XGBoost survival analysis with embeddings and debiased estimators
Organization: loft-br
Home Page: https://loft-br.github.io/xgboost-survival-embeddings/
machine-learning survival-analysis

m-clark / miscellaneous-r-code
survival-analysis,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**.
User: m-clark
r stan jags matlab julia python bayesian mixed-models gaussian-processes factor-analysis

matthewreid854 / reliability
survival-analysis,Reliability engineering toolkit for Python - https://reliability.readthedocs.io/en/latest/
User: matthewreid854
python statistics modeling simulation data-science maximum-likelihood-estimation weibull-analysis reliability-engineering survival-analysis

mi2datalab / survshap
survival-analysis,SurvSHAP(t): Time-dependent explanations of machine learning survival models
Organization: mi2datalab
Home Page: https://doi.org/10.1016/j.knosys.2022.110234
variable-importance biostatistics brier-scores cox-model cox-regression explainable-ai probabilistic-machine-learning shap survival-analysis time-to-event

mlr-org / mlr
survival-analysis,Machine Learning in R
Organization: mlr-org
Home Page: https://mlr.mlr-org.com
machine-learning data-science tuning cran r-package predictive-modeling classification regression statistics r

mlr-org / mlr3proba
survival-analysis,Probabilistic Learning for mlr3
Organization: mlr-org
Home Page: https://mlr3proba.mlr-org.com
probabilistic-supervised-learning survival-analysis probabilistic-regression density-estimation machine-learning supervised-learning mlr3 r r-package

modeloriented / survex
survival-analysis,Explainable Machine Learning in Survival Analysis
Organization: modeloriented
Home Page: https://modeloriented.github.io/survex
brier-scores cox-regression explainable-ai explainable-machine-learning explainable-ml explanatory-model-analysis interpretable-machine-learning interpretable-ml machine-learning shap

nanxstats / hdnom
survival-analysis,🔮 Benchmarking and visualization toolkit for penalized Cox models
User: nanxstats
Home Page: https://nanx.me/hdnom/
high-dimensional-data survival-analysis benchmark penalized-cox-models linear-regression nomogram-visualization

nt-williams / lmtp
survival-analysis,:package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:
User: nt-williams
causal-inference nonparametric-statistics longitudinal-data statistics machine-learning robust-statistics targeted-learning censored-data stochastic-interventions survival-analysis modified-treatment-policy precision-medicine

paidamoyo / adversarial_time_to_event
survival-analysis,ICML 2018: "Adversarial Time-to-Event Modeling"
User: paidamoyo
Home Page: http://proceedings.mlr.press/v80/chapfuwa18a.html
survival-analysis time-to-event statistical-machine-learning healthcare-application deep-learning

rk2900 / dlf
survival-analysis,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.
User: rk2900
deep-learning real-time-bidding market-price survival-analysis bid-landscape-forecasting

rk2900 / drsa
survival-analysis,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.
User: rk2900
survival-analysis deep-learning machine-learning data-science

robi56 / survival-analysis-using-deep-learning
survival-analysis,This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
User: robi56
survival-analysis gaussian-processes deep-learning bayesian-inference healthcare cancer-research machine-learning time-series time-to-event

ryanwangzf / survtrace
survival-analysis,SurvTRACE: Transformers for Survival Analysis with Competing Events
User: ryanwangzf
survival-analysis time-to-event

sauravmishra1710 / heart-failure-condition-and-survival-analysis
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.
User: sauravmishra1710
healthcare-application healthcare-datasets machine-learning machine-learning-algorithms exploratory-data-analysis data-visualization lgbm xgboost-algorithm cardiovascular-diseases cox-regression

sdw95927 / pathology-images-analysis-using-cnn
survival-analysis,Scripts for https://www.nature.com/articles/s41598-018-27707-4, using Convolutional Neural Network to detect lung cancer tumor area
User: sdw95927
convolutional-neural-networks pathology-image image-recognition survival-analysis

sebp / scikit-survival
survival-analysis,Survival analysis built on top of scikit-learn
User: sebp
survival-analysis machine-learning python scikit-learn

sebp / survival-cnn-estimator
survival-analysis,Tutorial on survival analysis using TensorFlow.
User: sebp
tensorflow survival-analysis deep-learning time-to-event convolutional-neural-networks tutorial notebook

soda-inria / hazardous
survival-analysis,Competing Risks and Survival Analysis
Organization: soda-inria
Home Page: https://soda-inria.github.io/hazardous/
competing-risks data-science gradient-boosting machine-learning survival-analysis

square / pysurvival
survival-analysis,Open source package for Survival Analysis modeling
Organization: square
Home Page: https://www.pysurvival.io/
survival-analysis machine-learning deep-learning python pytorch numpy

tvtoglu / predictr
survival-analysis,Weibull Analysis Tools
User: tvtoglu
reliability predictr weibull fisher-bounds survival-analysis unreliability likelihood-ratio estimation life-data-analysis python

tylermorganwall / skpr
survival-analysis,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.
User: tylermorganwall
Home Page: https://tylermorganwall.github.io/skpr/
optimal-designs rstats design-of-experiments survival-analysis power r split-plot-designs linear-models linear-regression monte-carlo

vanderschaarlab / autoprognosis
survival-analysis,A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
Organization: vanderschaarlab
Home Page: https://www.autoprognosis.vanderschaar-lab.com/
automl survival-analysis healthcare interpretability

vollmersj / survivalanalysis.jl
survival-analysis,A survival analysis interface for Julia
User: vollmersj
Home Page: https://raphaels1.github.io/SurvivalAnalysis.jl
julia survival-analysis time-to-event