COX Proportional risk model and survival analysis implemented by tensorflow.
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Updated
Mar 5, 2021 - Python
COX Proportional risk model and survival analysis implemented by tensorflow.
Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
SurvSHAP(t): Time-dependent explanations of machine learning survival models
Explainable Machine Learning in Survival Analysis
Survival functions (client side) for DataSHIELD. Package for building survival models, Cox proportional hazards models and Cox regression models in DataSHIELD.
This repo contains my assignment notebooks for the AI for Medicine Specialization course. The link to the course: AI for Medicine Specialization https://www.coursera.org/learn/ai-for-medical-prognosis
Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
Dynamic Models for Survival Data
Survival modelling using Cox proportional hazard regression model
Integrative Survival Models
Smooth Hazard Ratio Curves Taking a Reference Value
Survival analysis functions that allow left truncation and weighting, including Aalen-Johansen, Kaplan-Meier, and Cox proportional hazards regression
Survival Analysis of Lung Cancer Patients
Survival analysis of primary biliary cirrhosis patients
simulated data and estimation code for replication purposes for the paper MKSC-20-0420
Survival analysis of marriages in the U.S. in R language.
A survival analysis study of liver disease patients recreated in a Survival Methods course.
Minimal implementation of Kaplan-Meier and Cox proportional hazards models
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