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☀️ ☀️ ☀️

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

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The project will be released in September - 2023

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

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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

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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	✅	✅	✅

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🤘 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:

$This source code is our novel and currently under submission in ML4H (2023)$

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