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surtimesurvival's Introduction


☀️ ☀️ ☀️

SurvTimeSurvival:

Survival Analysis On The Patient With Multiple Visits/Records

☀️ ☀️ ☀️

Hung Le Nhat - University of Surrey

Supervised/ Instructed by:

  • Dr. Eng-Jon Ong
  • Prof. Miroslaw Bober

University of Surrey - United Kingdom


The project will be released in September - 2023


This repository provide the implementation of SurvTimeSurvival and our result that prove our performance


How to install

git clone https://github.com/davidlee1102/Surtimesurvival.git

Setup environment

  • Install conda software, which can be found at: https://www.anaconda.com/
  • Import survtimesurvival.yml to conda
  • Use this bash
conda activate survtimesurvival

OR

pip install -r requirements.txt

Install from requirements

pip install -r requirements.txt

After that there are some experiments we have proposed inside the tutorial, because of targeting to deal with covariate data, we almost target to PBC2 data


We announced our research and compared with another paper

Attempt SurvTrace Our First Approaches Our Second Approaches Description
Dealing with missing data
Generate new data
Dealing with independece data
Dealing with covariate data
Dealing with multiple event This function is not at the moment right now due to limitation in time
Predict survival, risk, harzard

..

🤘 This repo is currently developing and fixing, if this repo have any problems or you have any questions/ suggestions, feel free to email us
### 😄If you find this result interesting, please consider to cite this paper:
$This source code is our novel and currently under submission in ML4H (2023)$

surtimesurvival's People

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