Estimation of Left Ventricular Ejection Fraction Using Cardiovascular Hemodynamic Parameters and Pulse Morphological Characteristics with Machine Learning Algorithms

Estimation of Left Ventricular Ejection Fraction Using Cardiovascular Hemodynamic Parameters and Pulse Morphological Characteristics with Machine Learning Algorithms

It is estimated that 360,000 patients have suffered from heart failure (HF) in Taiwan, mostly those over the age of 65 years, who need long-term medication and daily healthcare to reduce the risk of mortality. The left ventricular ejection fraction (LVEF) is an important index to diagnose the HF. Th...

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Bibliographic Details
Main Authors: Shing-Hong Liu, Zhi-Kai Yang, Kuo-Li Pan, Xin Zhu, Wenxi Chen
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Nutrients
Subjects:
heart failure
left ventricular ejection fraction
cardiovascular hemodynamic parameter
morphological characteristic of pulse
machine learning
Online Access:https://www.mdpi.com/2072-6643/14/19/4051

Internet

https://www.mdpi.com/2072-6643/14/19/4051

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