Open AccessDetection and classification of myocardial infarction with support vector machine classifier using grasshopper optimization algorithm
Author(s) -
Naser Safdarian,
Shadi Yoosefian Dezfuli Nezhad,
Nader Jafarnia Dabanloo
Publication year - 2021
Publication title -
journal of medical signals and sensors
Language(s) - English
Resource type - Journals
ISSN - 2228-7477
DOI - 10.4103/jmss.jmss_24_20
Subject(s) - support vector machine , classifier (uml) , artificial intelligence , computer science , myocardial infarction , pattern recognition (psychology) , statistical classification , algorithm , machine learning , medicine
Providing a noninvasive, rapid, and cost-effective approach to diagnose of myocardial infarction (MI) is essential in the early stages of electrocardiogram (ECG) signaling. In this article, we proposed the new optimization method for support vector machine (SVM) classifier to MI classification.