Using Deep Learning to Identify High-Risk Patients with Heart Failure with Reduced Ejection Fraction

Using Deep Learning to Identify High-Risk Patients with Heart Failure with Reduced Ejection Fraction

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**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...

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Bibliographic Details
Main Authors: Zhibo Wang, Xi Chen, Xi Tan, Lingfeng Yang, Kartik Kannapur, Justin L. Vincent, Garin N. Kessler, Boshu Ru, Mei Yang
Format: Article
Language:English
Published: Columbia Data Analytics, LLC 2021-07-01
Series:Journal of Health Economics and Outcomes Research
Online Access:https://jheor.scholasticahq.com/article/25753-using-deep-learning-to-identify-high-risk-patients-with-heart-failure-with-reduced-ejection-fraction.pdf

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https://jheor.scholasticahq.com/article/25753-using-deep-learning-to-identify-high-risk-patients-with-heart-failure-with-reduced-ejection-fraction.pdf

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