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Cardiac arrhythmia classification using hierarchical classification model
Rashad Ahmed
, Samer Arafat
Department of Information and Computer Science
Research output
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Contribution to conference
›
Paper
›
peer-review
12
Scopus citations
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Computer Science
Machine Learning Technique
100%
Classification Models
100%
Model
100%
Hierarchical Model
66%
Artificial Neural Networks
33%
Lower Performance
33%
Database
33%
Support Vector Machine
33%
Decision Trees
33%
Application
33%
Accuracy
33%
Benchmark
33%
Support Vector Machine
33%
Basis Function
33%
Engineering
Models
100%
Performance
66%
Machine Learning Technique
50%
Heart Beat
33%
Benchmark
16%
Basis Function
16%
Comparable Result
16%
Data Base
16%
Stages
16%
Application
16%
Accuracy
16%
Artificial Neural Network
16%
Specificity
16%
Support Vector Machine
16%
Agricultural and Biological Sciences
Model
100%
Learning
50%
Heart
33%
Forest Trees
16%
Database
16%
Accuracy
16%
Neural Network
16%
Support Vector Machine
16%
Chemical Engineering
Learning System
100%
Neural Network
33%
Support Vector Machine
33%