An electrocardiogram analysis foundation model.
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Updated
Oct 3, 2025 - Python
An electrocardiogram analysis foundation model.
Official repository for distributing ECG-QA dataset
This project involves training classifiers (Random Forest, Gradient Boosting, CatBoost, XGBoost and Logistic Regression) on MIMIC-IV dataset to detect the presence of missingness of data within a certain interval. The full pipeline can be found in the README.
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