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Development and Validation of Deep-Learning Algorithm for Electrocardiography-Based Heart Failure Identification
BACKGROUND AND OBJECTIVES: Screening and early diagnosis for heart failure (HF) are critical. However, conventional screening diagnostic methods have limitations, and electrocardiography (ECG)-based HF identification may be helpful. This study aimed to develop and validate a deep-learning algorithm...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Korean Circ J |
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| Κύριοι συγγραφείς: | , , , , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
The Korean Society of Cardiology
2019
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6597456/ https://ncbi.nlm.nih.gov/pubmed/31074221 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4070/kcj.2018.0446 |
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