Algorithm of Predicting Heart Attack with using Sparse Coder
Publish Year: 1402
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJE-36-12_008
تاریخ نمایه سازی: 22 مهر 1402
Abstract:
One of the most serious causes of disease in the world's population, which kills many people worldwide every year, is heart attack. Various factors are involved in this matter, such as high blood pressure, high cholesterol, abnormal pulse rate, diabetes, etc. Various methods have been proposed in this field, but in this article, by using sparse codes in the classification process, higher accuracy has been achieved in predicting heart attacks. The proposed method consists of two parts: preprocessing and sparse code processing. The proposed method is resistant to noise and data scattering because it uses a sparse representation for this purpose. The spars allow the signal to be displayed at its lowest value, which leads to improve computing speed and reduce storage requirements. To evaluate the proposed method, the Cleveland database has been used, which includes ۳۰۳ samples and each sample has ۷۶ features. Only ۱۳ features are used in the proposed method. FISTA, AMP, DALM and PALM classifiers have been used for the classification process. The accuracy of the proposed method, especially with the PALM classifier, is the highest among other classifiers with ۹۶.۲۳%, and the other classifiers are ۹۵.۰۸%, ۹۴.۱۱% and ۹۴.۵۲% for DALM, AMP, FISTA, respectively.
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Authors
S. Mohamadzadeh
Department of Electrical and Computer Engineering, University of Birjand, Birjand, Iran
M. Ghayedi
Department of Electrical and Computer Engineering, University of Birjand, Birjand, Iran
S. Pasban
Department of Electrical and Computer Engineering, University of Birjand, Birjand, Iran
A. K. Shafiei
Department of Electrical and Computer Engineering, University of Birjand, Birjand, Iran
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