A big - data classification tree for decision support system in the detection of dilated cardiomyopathy using heart rate variability
Author:
Publisher
Elsevier BV
Subject
General Engineering
Reference39 articles.
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1. Development of an Interpretable Model for Improving Differential Diagnosis in Subjects with a Left Ventricular Ejection Fraction Ranging from 40 to 55%;IFMBE Proceedings;2024
2. Heart rate variability for medical decision support systems: A review;Computers in Biology and Medicine;2022-06
3. Interpretable machine learning models to support differential diagnosis between Ischemic Heart Disease and Dilated Cardiomyopathy;Procedia Computer Science;2022
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