An Overview of Supervised Machine Learning Methods and Data Analysis for COVID-19 Detection.

Aurelle Tchagna KouanouThomas Mih AttiaCyrille FeudjioAnges Fleurio DjeumoAdèle Ngo MouelasMendel Patrice NzogangChristian Tchito TchapgaDaniel Tchiotsop

Published in: Journal of healthcare engineering (2021)

The obtained results, when compared with others from the literature based on these same datasets, are superior, leading us to conclude that our proposed solution is reliable for the COVID-19 diagnosis.

Keyphrases

data analysis
machine learning
coronavirus disease
sars cov
systematic review
artificial intelligence
big data
respiratory syndrome coronavirus
deep learning
rna seq
loop mediated isothermal amplification
label free
sensitive detection