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 patterns...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Mostafa Shanbehzadeh, Hadi Kazemi-Arpanahi, Azam Orooji, Sara Mobarak, Saeed Jelvay
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wolters Kluwer Medknow Publications 2021-01-01
coleção:	Journal of Education and Health Promotion
Assuntos:	artificial intelligence computed tomography scan coronavirus covid-19 data mining machine learning random forest
Acesso em linha:	http://www.jehp.net/article.asp?issn=2277-9531;year=2021;volume=10;issue=1;spage=285;epage=285;aulast=Shanbehzadeh
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!