Comparison of deep learning approaches to predict COVID-19 infection

Abstract

Highlights To provide a prediction study for COVID-19 disease with deep learning application models with laboratory findings rather than X-ray or CT images. To ensure the prediction model for this novel pneumonia.

A novel classifier architecture based on deep neural network for COVID-19 detection using laboratory findings

“…Normally, in the artificial intelligence studies with relatively small datasets, cross-validation method is mostly preferred. But especially in medical clinical application, this cross-validation approach gives fewer clear results [29] . In this study, to have a clearer result, the tests were realized using train–test split approach and cross-validation approach was not preferred.…”

“…Alakus and Turkoglu used a laboratory data set that contains 600 samples to compare deep learning approaches for prediction of COVID-19. The experimental results were obtained as 92.30% accuracy, 93% F1-score, 92.35% precision, 93.68% recall and 90% AUC [29] .…”

Forecasting of COVID-19 cases using deep learning models: Is it reliable and practically significant?

“… Zeroual et al, 2020 , Tomar and Gupta, 2020 , Czarnowski et al, 2008 , El Zowalaty and Järhult, 2020 , Shahid et al, 2020 , Hewamalage et al, 2021 , Jiménez et al, 2020 , Kaushik et al, 2020 , BhedadJamshidi et al, 2020 , Ribeiro et al, 2020 , Naudé, 2020 , Arora et al, 2020 , Ribeiro et al, 2020 , Ogundokun et al, 2020 , Alzahrani et al, 2020 , Shastri et al, 2020 , Alakus and Turkoglu, 2020 , Papastefanopoulos et al, 2020 , Chimmula and Zhang, 2020 , Wang et al, 2020 , Wang et al, 2020 , DataGov , Car et al, 2020 .…”

Applications of artificial intelligence in battling against covid-19: A literature review

“…Other example of the research that use DNN in predicting the trend of the pandemic can be found in [424] , [425] , [426] , [427] , [428] , [429] .…”