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Cardiac arrhythmia classification using boosted decision trees
Alaa Elsayyad
,
Ahmed M. Nassef
, Abdel Karim Baareh
Electrical Engineering
Al-Balqa Applied University
Research output
:
Contribution to journal
›
Article
›
peer-review
14
Scopus citations
Overview
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Computer Science
Characteristic Feature
33%
Classification Accuracy
33%
Classification Performance
33%
Decision Tree
100%
Decision Tree Model
100%
Experimental Result
33%
Feature Vector
33%
Feed Forward Neural Networks
33%
Nonparametric Method
33%
Chemical Engineering
Feedforward Neural Network
100%