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...

Полное описание

Библиографические подробности

Главные авторы:	Zhibo Wang, Xin Chen, Xi Tan, Lingfeng Yang, Kartik Kannapur, Justin L. Vincent, Garin N. Kessler, Boshu Ru, Mei Yang
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Columbia Data Analytics, LLC 2021-07-01
Серии:	Journal of Health Economics and Outcomes Research
Online-ссылка:	https://doi.org/10.36469/jheor.2021.25753
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!