Detection and Classification of Myocardial Infarction with Support Vector Machine Classifier Using Grasshopper Optimization Algorithm

BACKGROUND: 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 classifi...

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Detalles Bibliográficos
Autores principales: Safdarian, Naser, Nezhad, Shadi Yoosefian Dezfuli, Dabanloo, Nader Jafarnia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8382032/
https://www.ncbi.nlm.nih.gov/pubmed/34466398
http://dx.doi.org/10.4103/jmss.JMSS_24_20

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8382032/
https://www.ncbi.nlm.nih.gov/pubmed/34466398
http://dx.doi.org/10.4103/jmss.JMSS_24_20

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