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Download Deep Learning Algorithm For Arrhythmia Detection: Hilmy Assodiky, Iwan Syarif, Tessy Badriyah by ['Kani Mozhi'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Deep Learning Algorithm For Arrhythmia Detection: Hilmy Assodiky, Iwan Syarif, Tessy Badriyah
This document describes a study that used a deep learning algorithm to classify arrhythmia data from electrocardiogram (ECG) recordings. The researchers compared their deep learning model to other machine learning algorithms such as Naive Bayes, K-Nearest Neighbor, artificial neural networks, and support vector machines. Their deep learning model achieved the highest accuracy of 76.51% for arrhythmia detection, outperforming the other methods. The document provides background on arrhythmias and ECGs, describes related work using deep learning and other algorithms for arrhythmia classification, and outlines the researchers' proposed deep learning system for classifying arrhythmia data.
Detailed Information
| Author: | ['Kani Mozhi'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 7 |
| Language: | English |
| Format: | |
| Price: | FREE |
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