Open AccessEarly COVID-19 Symptoms Identification Using Hybrid Unsupervised Machine Learning Techniques
Author(s) -
Omer Ali,
Mohamad Khairi Ishak,
Muhammad Kamran Liaquat Bhatti
Publication year - 2021
Publication title -
computers, materials and continua/computers, materials and continua (print)
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.788
H-Index - 40
eISSN - 1546-2226
pISSN - 1546-2218
DOI - 10.32604/cmc.2021.018098
Subject(s) - covid-19 , breathing , machine learning , medicine , artificial intelligence , identification (biology) , disease , pneumonia , isolation (microbiology) , computer science , intensive care medicine , infectious disease (medical specialty) , pathology , bioinformatics , botany , biology , anatomy
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