GAPPA: Enhancing Prognosis Prediction in Primary Aldosteronism Post-Adrenalectomy Using Graph-Based Modeling

About

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This repository is the official PyTorch implementation of GAPPA. Please cite this paper if you applied this work.

GAPPA: Enhancing prognosis prediction in primary aldosteronism post-adrenalectomy using graph-based modeling Artificial Intelligence in Medicine 2025-01 | Journal article DOI: 10.1016/j.artmed.2024.103028 Contributors: Pei-Yan Li; Yu-Wen Huang; Vin-Cent Wu; Jeff S. Chueh; Chi-Shin Tseng; Chung-Ming Chen

https://doi.org/10.1016/j.artmed.2024.103028

Usages:

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To train:

python train.py pa

To test:

python infer.py pa

Pre-requisites:

• Ubuntu 22.04.2 LTS (GNU/Linux 6.5.0-44-generic x86_64)
• NVIDIA GPU (Tested on Nvidia GeForce RTX 3090 ) with CUDA Version: 12.0
• Python (3.9.13)
• Anaconda version 22.9.0

Installation:

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conda env create -f environment.yml
conda activate gappa_env

more information:
If you have problems with the installation of PyTorch or PyG, please refer to the official pages:
Install [PyTorch](https://pytorch.org/)
Install [PyTorch_Geometric](https://rusty1s.github.io/pytorch_geometric/build/html/notes/installation.html)