Open AccessPerformance evaluation of selected machine learning algorithms for COVID-19 prediction using routine clinical data: With versus Without CT scan features
Author(s) -
Mostafa Shanbehzadeh,
Hadi Kazemi-Arpanahi,
Azam Orooji,
Sara Mobarak,
Saeed Jelvay
Publication year - 2021
Publication title -
journal of education and health promotion
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.241
H-Index - 5
eISSN - 2319-6440
pISSN - 2277-9531
DOI - 10.4103/jehp.jehp_1424_20
Subject(s) - random forest , machine learning , receiver operating characteristic , artificial intelligence , naive bayes classifier , algorithm , support vector machine , computer science , covid-19 , multilayer perceptron , sensitivity (control systems) , diagnostic accuracy , data mining , artificial neural network , medicine , radiology , engineering , disease , pathology , electronic engineering , infectious disease (medical specialty)