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Artificial intelligence for detecting electrolyte imbalance using electrocardiography
INTRODUCTION: The detection and monitoring of electrolyte imbalance is essential for appropriate management of many metabolic diseases; however, there is no tool that detects such imbalances reliably and noninvasively. In this study, we developed a deep learning model (DLM) using electrocardiography...
Zapisane w:
| Wydane w: | Ann Noninvasive Electrocardiol |
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| Główni autorzy: | , , , , , , , , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
John Wiley and Sons Inc.
2021
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8164149/ https://ncbi.nlm.nih.gov/pubmed/33719135 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/anec.12839 |
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