Performance evaluation of selected machine learning algorithms for COVID-19 prediction using routine clinical data: With versus Without CT scan features

Performance evaluation of selected machine learning algorithms for COVID-19 prediction using routine clinical data: With versus Without CT scan features

BACKGROUND: Given coronavirus disease (COVID-19's) unknown nature, diagnosis, and treatment is very complex up to the present time. Thus, it is essential to have a framework for an early prediction of the disease. In this regard, machines learning (ML) could be crucial to extract concealed patt...

Full description

Bibliographic Details
Main Authors: Mostafa Shanbehzadeh, Hadi Kazemi-Arpanahi, Azam Orooji, Sara Mobarak, Saeed Jelvay
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2021-01-01
Series:Journal of Education and Health Promotion
Subjects:
artificial intelligence
computed tomography scan
coronavirus
covid-19
data mining
machine learning
random forest
Online Access:http://www.jehp.net/article.asp?issn=2277-9531;year=2021;volume=10;issue=1;spage=285;epage=285;aulast=Shanbehzadeh

Internet

http://www.jehp.net/article.asp?issn=2277-9531;year=2021;volume=10;issue=1;spage=285;epage=285;aulast=Shanbehzadeh

Similar Items