survival-models
There are 19 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.
drizopoulos/JMbayes2
Extended Joint Models for Longitudinal and Survival Data
brian-j-smith/MachineShop
MachineShop: R package of models and tools for machine learning
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.
KarlaMonterrubioG/CompRisksVignettes
Supplementary material for the paper: A review on competing risks methods for survival analysis
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.
neelsoumya/dsSurvival
Survival functions for DataSHIELD. Package for building survival models, Cox proportional hazards models and Cox regression models in DataSHIELD.
neelsoumya/dsSurvival_bookdown
A bookdown demonstrating how to build survival models using the dsSurvival package in DataSHIELD
Pegah-Ardehkhani/Cancer-Patients-Survival-Analysis
Survival Analysis of Lung Cancer Patients
neelsoumya/dsSurvivalbookdown
A bookdown demonstrating how to build survival models using the dsSurvival package in DataSHIELD
neelsoumya/dsSurvivalClient
Survival functions (client side) for DataSHIELD. Package for building survival models, Cox proportional hazards models and Cox regression models in DataSHIELD.
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.
neelsoumya/survival_models
A repository of code and resources for survival models
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.
Niangmohamed/Survival-Analysis-Vs-Machine-Learning
Survival Analysis VS Machine Learning.
alexwky/LatentClassJM
A general model for the joint analysis of multivariate longitudinal data and survival time
sxtforreal/PlusDS
Identified the drivers of the risk of coronary heart disease and cardiovascular disease using the Sleep Heart Health Study dataset
bydmitry/simu
Image-based Survival Modeling on simulated data
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.