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...
I tiakina i:
| Ngā kaituhi matua: | , , , , , , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Columbia Data Analytics, LLC
2021-07-01
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| Rangatū: | Journal of Health Economics and Outcomes Research |
| Urunga tuihono: | https://doi.org/10.36469/jheor.2021.25753 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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