z-logo
open-access-imgOpen Access
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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom