Using Deep Learning to Identify High-Risk Patients with Heart Failure with Reduced Ejection Fraction
# Background Deep Learning (DL) has not been well-established as a method to identify high-risk patients among patients with heart failure (HF). # Objectives This study aimed to use DL models to predict hospitalizations, worsening HF events, and 30-day and 90-day readmissions in patients with heart...
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| Auteurs principaux: | , , , , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Columbia Data Analytics, LLC
2021-07-01
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| Collection: | Journal of Health Economics and Outcomes Research |
| Accès en ligne: | https://doi.org/10.36469/jheor.2021.25753 |
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