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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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Principais autores: Zhibo Wang, Xin Chen, Xi Tan, Lingfeng Yang, Kartik Kannapur, Justin L. Vincent, Garin N. Kessler, Boshu Ru, Mei Yang
פורמט: Artigo
שפה:Inglês
יצא לאור: Columbia Data Analytics, LLC 2021-07-01
סדרה:Journal of Health Economics and Outcomes Research
גישה מקוונת:https://doi.org/10.36469/jheor.2021.25753
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