A machine learning approach for classifying healthy and infarcted patients using heart rate variabilities derived vector magnitude

A machine learning approach for classifying healthy and infarcted patients using heart rate variabilities derived vector magnitude

According to the World Health Organization, Heart disease is the number one killer of humans, with coronary heart disease (CHD) being the most common type of heart disease. CHD leads to myocardial ischemia (MI) or infarction. Several clinical tests are available to assist physicians in diagnosing MI...

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Bibliographic Details
Main Authors: Rupesh Kumar Agrawal, Rahim R. Sewani, Dursun Delen, Bruce Benjamin
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Healthcare Analytics
Subjects:
Coronary disease
Heartrate variability
Classification
k-fold cross-validation
Online Access:http://www.sciencedirect.com/science/article/pii/S2772442522000612

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http://www.sciencedirect.com/science/article/pii/S2772442522000612

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