survival-models

There are 3 repositories under survival-models topic.

• shalabh147 / Brain-Tumor-Segmentation-and-Survival-Prediction-using-Deep-Neural-Networks

  Use of state of the art Convolutional neural network architectures including 3D UNet, 3D VNet and 2D UNets for Brain Tumor Segmentation and using segmented image features for Survival Prediction of patients through deep neural networks.

  brain-tumor-segmentationsurvival-predictiondeep-neural-networksunet-architecturesegmentationkeras-tensorflowbrats-datasetmedical-imagingaiformedicinevnet3dunet-3dsurvival-modelsgliomamri-segmentationdeep-learningcnn-segmentationdice-scoresdice-coefficientdice-loss
  Language:Jupyter Notebook 156

• drizopoulos / JMbayes2

  Extended Joint Models for Longitudinal and Survival Data

  competing-riskslongitudinal-analysismixed-modelsmulti-statepersonalized-medicineprecision-medicineprediction-modelsurvival-models
  Language:R 67

• brian-j-smith / MachineShop

  MachineShop: R package of models and tools for machine learning

  rmachine-learningpredictive-modelingclassification-modelsregression-modelssurvival-models
  Language:R 61

• giabaio / survHE

  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.

  survival-analysissurvival-modelshealth-economic-evaluationhamiltonian-monte-carlofrequentistinlarstanuncertaintyplotting-survival-curves
  Language:R 38

• cnai-ds / Datathon-Health-Risk-Prediction

  SCOR Datathon in 2020. Acquired and processed open data, predicted level of Glycohemoglobin, Cholesterol and probability of diabetes, then identified the probability change with Random Survival Forest to suggest improvements to a user.

  health-risksreinsurancesurvival-modelsdiabetes
  Language:Jupyter Notebook 5

• KarlaMonterrubioG / CompRisksVignettes

  Supplementary material for the paper: A review on competing risks methods for survival analysis

  competing-riskssurvival-modelssurvival-analysistime-to-eventbiostatisticsr-packagesstatistical-modelscox-reevent-modelingfine-gray-model
  Language:JavaScript 5

• neelsoumya / dsSurvival

  Survival functions for DataSHIELD. Package for building survival models, Cox proportional hazards models and Cox regression models in DataSHIELD.

  clinical-informaticscox-modelscox-regressiondatashielddatashield-technical-teamdatashield-testingdssurvivalmeta-analysisrsurvival-analysissurvival-functionssurvival-models
  Language:R 5

• neelsoumya / dsSurvival_bookdown

  A bookdown demonstrating how to build survival models using the dsSurvival package in DataSHIELD

  rdatashieldsurvival-analysiscox-regressiondssurvivaldssurvivalclientsurvival-models
  Language:TeX 4

• Pegah-Ardehkhani / Cancer-Patients-Survival-Analysis

  Survival Analysis of Lung Cancer Patients

  cancer-patientscox-modelcox-proportional-hazardcox-proportional-hazardscoxph-modeldata-sciencekaplan-meierkaplan-meier-plotkaplanmeierfitterlog-rank-testnelsonaalenfitterpythonsurvivalsurvival-analysissurvival-modelssurvival-prediction
  Language:Jupyter Notebook 4

• neelsoumya / dsSurvivalbookdown

  A bookdown demonstrating how to build survival models using the dsSurvival package in DataSHIELD

  rdatashieldsurvival-modelscox-regressionprivacy-protectiondssurvivaldssurvivalclient
  Language:TeX 3

• neelsoumya / dsSurvivalClient

  Survival functions (client side) for DataSHIELD. Package for building survival models, Cox proportional hazards models and Cox regression models in DataSHIELD.

  coxcox-modelcox-modelscox-regressiondatashielddatashield-technical-teamdatashield-testingdssurvivaldssurvivalclientfederated-analysisrreproducible-researchsurvival-analysissurvival-functionssurvival-models
  Language:HTML 3

• wiese-m / survival-studio

  Survival Studio - a tool for automatic and interactive exploration of complex survival models. The project is carried out as part of the master's thesis supervised by Przemyslaw Biecek.

  data-scienceexplainable-mlsurvival-modelsdashboard-applicationplotlypython
  Language:Python 3

• neelsoumya / survival_models

  A repository of code and resources for survival models

  cox-modelssurvival-models
  Language:HTML 2
• NETDEM-workshop-survival-nimble

  oliviergimenez / NETDEM-workshop-survival-nimble

  This repository holds the source materials used for a working group/symposium on capture-recapture models and social networks, and an introduction to capture-recapture models in nimble to estimate demographic parameters.

  bayesian-statisticscapture-recapture-modelscormack-jolly-sebernimblesurvival-models
  Language:HTML 2

• Niangmohamed / Survival-Analysis-Vs-Machine-Learning

  Survival Analysis VS Machine Learning.

  survival-analysissurvival-random-forestssurvival-modelsmachine-learning-algorithmsclassification
  Language:HTML 1

• alexwky / LatentClassJM

  A general model for the joint analysis of multivariate longitudinal data and survival time

  em-algorithmjoint-modelslatent-classlongitudinal-datamultivariate-longitudinal-datasemiparametric-modelssurvival-analysissurvival-models
  Language:R 0

• sxtforreal / PlusDS

  Identified the drivers of the risk of coronary heart disease and cardiovascular disease using the Sleep Heart Health Study dataset

  boosting-algorithmscardiovascular-diseasescoronary-heart-diseaserisk-assessmentsurvival-models
  Language:R 0

• bydmitry / simu

  Image-based Survival Modeling on simulated data

  deep-learningsurvival-modelscomputer-visionkeras-tensorflowefron-estimator
  Language:Jupyter Notebook

• DiegoVallarino / MSc-and-PhD-studies-in-Survival

  In this work I tested if there was an improvement in performance in the use of different survival models.

  c-indexcoxph-modelsurvival-modelssurvival-predictionmtlrxgboost-algorithmxgboost-model
  Language:HTML