There are 1 repository under cox-regression topic.
Survival analysis in Python
Fast Best-Subset Selection Library
Explainable Machine Learning in Survival Analysis
COX Proportional risk model and survival analysis implemented by tensorflow.
Resources for Survival Analysis
SurvSHAP(t): Time-dependent explanations of machine learning survival models
Survival analysis in Julia
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.
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)
Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
ISMB 2020: Improved survival analysis by learning shared genomic information from pan-cancer data
geneSurv: an interactive web-based tool for survival analysis in genomics research
R material for LSHTM's Advanced Statistical Methods in Epidemiology (ASME) practical sessions
A 30+ node flowchart for selecting the right statistical test for evaluating experimental data.
psfmi: Predictor Selection Functions for Logistic and Cox regression models in multiply imputed datasets
Survival analysis functions that allow left truncation and weighting, including Aalen-Johansen, Kaplan-Meier, and Cox proportional hazards regression
Health app, that predicts diabetic retinopathy
MAMBA – Multi-pAradigM voxel-Based Analysis: a computational cookbot
Deep learning prediction on BRAF genetic mutation for patients with pediatric low grade glioma (pLGG).
Survival functions for DataSHIELD. Package for building survival models, Cox proportional hazards models and Cox regression models in DataSHIELD.
business analytics course homework assignments
R script for calculating cox proportional hazard models for the association between polyphenols and cancer risk in EPIC cohort
Multiresponse time-to-event Cox proportional hazards model - CPU
Survival modelling using Cox proportional hazard regression model
🍊 :heavy_plus_sign: Survival Analysis add-on for Orange3 data mining suite.
Survival learners for the `mlexperiments` R 📦
A bookdown demonstrating how to build survival models using the dsSurvival package in DataSHIELD
A bookdown demonstrating how to build survival models using the dsSurvival package in DataSHIELD
Survival functions (client side) for DataSHIELD. Package for building survival models, Cox proportional hazards models and Cox regression models in DataSHIELD.
Survival Analysis with Neural Networks
This project focuces on analysis of survival patients with Aids, with Python library Lifelines
Multiresponse time-to-event Cox proportional hazards model - GPU
A fully-automatic end-to-end outcome prediction platform for oropharyngeal cancer