Predicting Hypertensive Patients With Higher Risk of Developing Vascular Events Using Heart Rate Variability and Machine Learning

Predicting Hypertensive Patients With Higher Risk of Developing Vascular Events Using Heart Rate Variability and Machine Learning

The prognosis of cardiovascular and cerebrovascular events for patients suffering from hypertension is considered of a high importance in preventing any further development of cardiac diseases. Despite of the ability of current gold standard techniques in predicting vascular events risks, they still...

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Bibliographic Details
Main Authors: Mohanad Alkhodari, Deema K. Islayem, Feryal A. Alskafi, Ahsan H. Khandoker
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Hypertension
cardiovascular events
cerebrovascular events
heart rate variability
ANOVA
machine learning
Online Access:https://ieeexplore.ieee.org/document/9235321/

Internet

https://ieeexplore.ieee.org/document/9235321/

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