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...
| 出版年: | Journal of Health Economics and Outcomes Research |
|---|---|
| 主要な著者: | Zhibo Wang, Xin Chen, Xi Tan, Lingfeng Yang, Kartik Kannapur, Justin L. Vincent, Garin N. Kessler, Boshu Ru, Mei Yang |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
Columbia Data Analytics, LLC
2021-07-01
|
| オンライン･アクセス: | https://doi.org/10.36469/jheor.2021.25753 |
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