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Skip to Search Results- 2PhysioNet/CinC
- 1Cardiac abnormalities
- 1Electrocardiogram (ECG)
- 1Multi-label classification
- 1electrocardiogram
- 1multi-label classification
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2021
Wong, A.W., Salimi, A., Hindle, Abram, Kalmady, S.V., Kaul, P.
The 12-lead electrocardiogram (ECG) measures the electrical activity of the heart for physicians to use in diagnosing cardiac disorders. This paper investigates the multi-label, multi-class classification of ECG records into one or more of 27 possible medical diagnoses. Our multi-step approach...
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2020
Wong, A.W., Sun, W., Kalmady, S.V., Kaul, P., Hindle, Abram
The 12-lead electrocardiogram (ECG) is a commonly used tool for detecting cardiac abnormalities such as atrial fibrillation, blocks, and irregular complexes. For the PhysioNet/CinC 2020 Challenge, we built an algorithm using gradient boosted tree ensembles fitted on morphology and signal...