shi-ang Goto Github PK

bnn-isd

Code Release for "Using Bayesian Neural Networks to Select Features and Compute Credible Intervals for Personalized Survival Prediction"

censoredmae

Code Release for "An Effective Meaningful Way to Evaluate Survival Models", ICML 2023

cmput566

CMPUT566 UofAlberta

csd

Conformalized Survival Distribution (CSD) is a plug-in post-processing method designed to enhance the calibration of a survival distribution model, without compromising its discriminative power.

depressiondetect

isdevaluation

Code to pair with the paper "Effective Ways to Build and Evaluate Individual Survival Distributions".

kaggle_titanic

Intro to Kaggle competition

lifelines

Survival analysis in Python

nn_pytorch

This repository contains code implementation of deep learning algorithm

shanghuo_patient_classifier

The final project of CMPUT 566

shi-ang.github.io

Shi-ang's Personal Website. See https://shi-ang.github.io/

survivalanalysispapers

A list of papers/resources in Survival Analysis that I have read or would like to read.

survivaleval

The most comprehensive Python package for evaluating survival analysis models.

torchmtlr

Flexible and modular implementation of multi-task logistic regression in PyTorch.

treehmm

vaecox

ISMB 2020: Improved survival analysis by learning shared genomic information from pan-cancer data