2021
DOI: 10.1016/j.rinp.2021.104274
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Artificial neural networks and statistical models for optimization studying COVID-19

Abstract: The biggest challenge facing the world in 2020 was the pandemic of the coronavirus disease (COVID-19). Since the start of 2020, COVID-19 has invaded the world, causing death to people and economic damage, which is cause for sadness and anxiety. Since the world has passed from the first peak with relative success, this should be evaluated by statistical analysis in preparation for potential further waves. Artificial neural networks and logistic regression models were used in this study, and some statistical ind… Show more

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Cited by 12 publications
(10 citation statements)
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“…ANNs are robust and tolerant of missing data as well as input errors and have been put forward to supplement standard statistical models for predicting multifaceted biological events 43 . ANNs have shown value in a variety of clinical situations and have gained acceptance as diagnostic and prognostic tools for predicting surgical outcomes in a variety of disease states 44,45 . The predictive accuracy achieved in the current study, with an ROC of 0.89, compares favorably with findings from similar studies 46 .…”
Section: Discussionsupporting
confidence: 57%
“…ANNs are robust and tolerant of missing data as well as input errors and have been put forward to supplement standard statistical models for predicting multifaceted biological events 43 . ANNs have shown value in a variety of clinical situations and have gained acceptance as diagnostic and prognostic tools for predicting surgical outcomes in a variety of disease states 44,45 . The predictive accuracy achieved in the current study, with an ROC of 0.89, compares favorably with findings from similar studies 46 .…”
Section: Discussionsupporting
confidence: 57%
“…Perovskites have demonstrated acceptable thermoelectric performance, and represent promising applications in thermoelectric devices 10–14 . Consequently, DPs have received significant attention in high‐temperature research 15–17 . Recent studies have also utilized the DFT to evaluate optical, thermoelectric, and electronic characteristics of DPs.…”
Section: Introductionmentioning
confidence: 99%
“…Logistic regression model was used recently in different research. Logistic regression model and artificial neural network were considered with several independent variables to predict mortality due to COVID-19 pandemic in 32 European countries [10] . Logistic regression analysis was utilized to identify COVID-19 lockdown measures related risk factors in various studies [11] , [12] , [13] , [14] .…”
Section: Introductionmentioning
confidence: 99%