Multiclass classification of cardiac arrhythmia using improved feature selection and SVM invariants

DOI10.1155/2018/7310496zbMath1411.92142OpenAlexW2790036160WikidataQ55024670 ScholiaQ55024670MaRDI QIDQ1734435

Muahammad Majid, Anam Mustaqeem, Syed Muhammad Anwar

Publication date: 27 March 2019

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2018/7310496

zbMATH Keywords

classificationsupport vector machinecardiac arrhythmia

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Medical applications (general) (92C50)

Related Items (2)

Arrhythmia classification of ECG signals using hybrid features ⋮ Prediction of protein-protein interactions based on domain

Uses Software

• Boruta

Cites Work

• Feature selection with dynamic mutual information
• Toward optimal feature selection using ranking methods and classification algorithms

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