Code for the Paper "Informed Injury Prediction in Elite Football: Decision Theory meets Machine Learning"
This repository contains the corresponding code for our paper Informed Injury Prediction in Elite Football: Decision Theory meets Machine Learning. It includes the following components: requirements.txt: Environment file that can be used with pip install requirements.txt to install all necessary dependencies used within the analysis and for plotting. src/ 1_estimation_calibration.py: Code that was used to conduct the analysis of the main part and the supplementary material. Please note that for data-privacy reasons, the actual data cannot be included in the repository. 2_visualization_paper.py: Code that was used to create the visualizations in the main part and the supplementary material.
Institutions
- Universitat Autònoma de Barcelona (ES)
- Hospital Sant Joan de Déu Barcelona (ES)
- University of Bonn (DE)
- Gene Therapy Laboratory (FR)
- Leitat Technological Center (ES)
- FC Barcelona (ES)
- Barcelona Institute for Global Health (ES)
- Manchester City Football Club (GB)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-02
- DOI
- https://doi.org/10.5281/zenodo.15575999
- Primary Topic
- Sports Analytics and Performance
- Type
- article
- Field-Weighted Citation Impact
- 0.00