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Machine learning-based prediction of acute coronary syndrome using only the pre-hospital 12-lead electrocardiogram
Prompt identification of acute coronary syndrome is a challenge in clinical practice. The 12-lead electrocardiogram (ECG) is readily available during initial patient evaluation, but current rule-based interpretation approaches lack sufficient accuracy. Here we report machine learning-based methods f...
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| Yayımlandı: | Nat Commun |
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| Asıl Yazarlar: | , , , , , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Nature Publishing Group UK
2020
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7414145/ https://ncbi.nlm.nih.gov/pubmed/32769990 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-020-17804-2 |
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