The Entropy Triangle Method (ETM): A novelframework for the prevention of cardiacarrhythmia with a review of more than ۱۰,۰۰۰patients
Publish Year: 1402
نوع سند: مقاله کنفرانسی
زبان: English
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CRIAL01_027
تاریخ نمایه سازی: 7 مرداد 1403
Abstract:
One of the most important problems in medicine is to facilitate prediction. In this study, we propose entropy triangle method,a novel framework for predicting heart rhythms using a novel machine learning technique. This framework includes threesteps: feature engineering, entropy triangle oversampling, and disease prediction. The dataset used in this study is a ۱۲-leadelectrocardiogram (ECG) arrhythmia research database with ۱۰,۶۴۶ patients. This dataset contains ۱۱ different heart rhythms(۵ sinus rhythms and ۶ non-sinus rhythms). In this article, we introduce two firsts in machine learning and medicine that canpredict non-sinus rhythm with over ۸۵% accuracy. Our experimental results show, among others, that the most accurateclassifier based on entropy triangles and the most useful oversampling are the supported vector classifiers and oversamplingtechniques for shark scent
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Authors
Arman Daliri
Department of Computer Engineering, Karaj Branch, Islamic Azad University,Karaj, Iran