Comparing Supervised Machine Learning Models for Covid-19 patient detection using a Combination of Clinical and Laboratory Dataset

Comparing Supervised Machine Learning Models for Covid-19 patient detection using a Combination of Clinical and Laboratory Dataset

COVID-19 is a new variant of SARS-COV-2 which can lead to mild to severe infection in humans. Despite the remarkable efforts to contain the epidemic, the virus spread rapidly around the world and its prevalence continued with different degrees of clinical symptoms in many countries. Although common...

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Bibliographic Details
Main Authors: Narges Mohebbi, Mehdi Tutunchian, Meysam Alavi, Mehrdad Kargari, Amir Behnam Kharazmy
Format: Article
Language:English
Published: University of science and culture 2022-01-01
Series:International Journal of Web Research
Subjects:
covid-19
coronavirus
early detection
machine learning techniques
supervised model
Online Access:https://ijwr.usc.ac.ir/article_154303_37f199ff79a212651110f3d1718cc148.pdf
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https://ijwr.usc.ac.ir/article_154303_37f199ff79a212651110f3d1718cc148.pdf

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