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Detection of the patient with COVID-19 relying on ML technology and FAST algorithms to extract the features
Author(s) -
Seba Aziz Sahy,
Sura Hammed Mahdi,
Hassan Muwafaq Gheni,
Israa Al_Barazanchi
Publication year - 2022
Publication title -
bulletin of electrical engineering and informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.251
H-Index - 12
ISSN - 2302-9285
DOI - 10.11591/eei.v11i5.4355
Subject(s) - covid-19 , identification (biology) , hazard , algorithm , computer science , globe , feature (linguistics) , medicine , artificial intelligence , machine learning , biology , virology , disease , ecology , linguistics , philosophy , botany , outbreak , infectious disease (medical specialty) , ophthalmology

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