https://github.com/ai4healthuol/cardiodiag
This is the official repository for CardioDiag. A machine learning framework for the diagnosis of non-cardiac conditions.
Science Score: 23.0%
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Repository
This is the official repository for CardioDiag. A machine learning framework for the diagnosis of non-cardiac conditions.
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Metadata Files
README.md
This is the official repository for CardioDiag. An externally validated and explainable machine learning framework for the diagnoses of diverse non-cardiac conditions.
CardioDiag have been proposed in four main manuscrips:
Estimation of Cardiac and Non-cardiac Diagnosis from Electrocardiogram Features Accepted by the international conference of computing in cardiology (CinC) 2024.
Electrocardiogram-based diagnosis of liver diseases: an externally validated and explainable machine learning approach
Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study
In terms of input features, we use demographics such as age and gender, as well as ECG features such as RR-interval, PR-interval, QRS-duration, QT-interval, QTc-interval in milliseconds, P-wave axis, QRS-axis, as well as T-wave axis in degrees. All of the diagnoses are well-defined diagnoses by means of ICD10-CM codes.
References
bibtex
@misc{alcaraz2024estimationcardiacnoncardiacdiagnosis,
title={Estimation of Cardiac and Non-cardiac Diagnosis from Electrocardiogram Features},
author={Juan Miguel Lopez Alcaraz and Nils Strodthoff},
year={2024},
eprint={2408.17329},
archivePrefix={arXiv},
primaryClass={eess.SP},
url={https://arxiv.org/abs/2408.17329},
}
bibtex
@misc{alcaraz2024electrocardiogrambaseddiagnosisliverdiseases,
title={Electrocardiogram-based diagnosis of liver diseases: an externally validated and explainable machine learning approach},
author={Juan Miguel Lopez Alcaraz and Wilhelm Haverkamp and Nils Strodthoff},
year={2024},
eprint={2412.03717},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/2412.03717},
}
bibtex
@misc{alcaraz2024explainablemachinelearningneoplasms,
title={Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study},
author={Juan Miguel Lopez Alcaraz and Wilhelm Haverkamp and Nils Strodthoff},
year={2024},
eprint={2412.07737},
archivePrefix={arXiv},
primaryClass={eess.SP},
url={https://arxiv.org/abs/2412.07737},
}
bibtex
@misc{alcaraz2025explainable,
title={Explainable and externally validated machine learning for neuropsychiatric diagnosis via electrocardiograms},
author={Alcaraz, Juan Miguel Lopez and Oloyede, Ebenezer and Taylor, David and Haverkamp, Wilhelm and Strodthoff, Nils},
year={2025},
eprint={2502.04918},
archivePrefix={arXiv},
primaryClass={eess.SP},
url={https://arxiv.org/abs/2502.04918},
}
Owner
- Name: AI4HealthUOL
- Login: AI4HealthUOL
- Kind: organization
- Location: Germany
- Website: https://uol.de/en/ai4health
- Twitter: nstrodt
- Repositories: 6
- Profile: https://github.com/AI4HealthUOL
Public repositories of the AI4Health Division at Oldenburg University
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