Skip to main navigation
Skip to search
Skip to main content
Prince Sattam bin Abdulaziz University Home
Home
Profiles
Research units
Projects
Research output
Prizes
Activities
Search by expertise, name or affiliation
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
Fingerprint
Fingerprint
Dive into the research topics of 'Cardiac arrhythmia classification using boosted decision trees'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Computer Science
Decision Tree
100%
Decision Tree Model
100%
Experimental Result
33%
Characteristic Feature
33%
Classification Accuracy
33%
Classification Performance
33%
Nonparametric Method
33%
Feature Vector
33%
Feed Forward Neural Networks
33%
Chemical Engineering
Feedforward Neural Network
100%