ECG classification and the "heart age" prediction using machine learning
<p>Cardiovascular disease (CVD) is the leading cause of morbidity and mortality worldwide. Electrocardiogram (ECG) is an important clinical measurement of cardiac activity. The major challenge in incorporating ECG time-series into CVD risk metrics is extracting features and classifying the ECG...
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| Formato: | Thesis |
| Idioma: | English |
| Publicado: |
2020
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