Electrocardiographic-Driven Artificial Intelligence Model: A New Approach to Predicting One-Year Mortality in Heart Failure with Reduced Ejection Fraction Patients

Author:

Lee Hak Seung,Han Ga In,Kim Kyung-Hee,Kang Sora,Jang Jong-Hwan,Jo Yong-Yeon,Son Jeong Min,Lee Min Sung,Kwon Joon-myoung,Oh Byung-Hee

Publisher

Elsevier BV

Reference30 articles.

1. A contemporary appraisal of the heart failure epidemic in Olmsted County;Y Gerber;JAMA Intern Med,2000

2. Temporal trends and patterns in heart failure incidence: a population-based study of 4 million individuals;N Conrad;Lancet,2018

3. Temporal Trends in the Incidence of and Mortality Associated With Heart Failure With Preserved and Reduced Ejection Fraction;C W Tsao;JACC Heart Fail,2018

4. Heart Disease and Stroke Statistics-2021 Update: A;S S Virani;Report From the American Heart Association. Circulation,2021

5. Mediterranean diet and risk of heart failure: results from the PREDIMED randomized controlled trial;A Papadaki;Eur J Heart Fail,2017

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