Complication Prediction after Esophagectomy with Machine Learning

This repository contains the code that was used in this paper.

Disclaimer

All data in this repository was randomly generated, because the original data can not be disclosed due to privacy and ethical considerations.

example_data_creation.py describes how the example data was randomly generated.

Chest Image attribution:

Case courtesy of Amanda Er, Radiopaedia.org. From the case rID: 85561

Python Package Requirements

• numpy=1.19.5
• python=3.9.13
• pandas=1.4.3
• scikit-learn=1.1.1
• seaborn=0.12.0
• tensorflow=2.4.1
• tensorflow.keras=2.4.0
• tensorflow_addons=0.13.0
• tqdm=4.64.0

Reference and Citation

BibTex citation:

@Article{diagnostics14040439,
AUTHOR = {van de Beld, Jorn-Jan and Crull, David and Mikhal, Julia and Geerdink, Jeroen and Veldhuis, Anouk and Poel, Mannes and Kouwenhoven, Ewout A.},
TITLE = {Complication Prediction after Esophagectomy with Machine Learning},
JOURNAL = {Diagnostics},
VOLUME = {14},
YEAR = {2024},
NUMBER = {4},
ISSN = {2075-4418},
DOI = {10.3390/diagnostics14040439}
}