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10.3390/healthcare9121614 http://scihub22266oqcxt.onion/10.3390/healthcare9121614 34946340!8700845!34946340     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Healthcare+(Basel) 2021 ; 9 (12): ä Nephropedia Template TP {{tp|p=34946340|t=2021. Artificial Intelligence for Forecasting the Prevalence of COVID-19 Pandemic: An Overview |pdf=|usr=}}{{34946340}} gab.com Text Artificial Intelligence for Forecasting the Prevalence of COVID-19 Pandemic: An Overview JO: Healthcare (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=34946340 #FOAvip Since the discovery of COVID-19 at the end of 2019, a significant surge in forecasting publications has been recorded. Both statistical and artificial intelligence (AI) approaches have been reported; however, the AI approaches showed a better accuracy compared with the statistical approaches. This study presents a review on the applications of different AI approaches used in forecasting the spread of this pandemic. The fundamentals of the commonly used AI approaches in this context are briefly explained. Evaluation of the forecasting accuracy using different statistical measures is introduced. This review may assist researchers, experts and policy makers involved in managing the COVID-19 pandemic to develop more accurate forecasting models and enhanced strategies to control the spread of this pandemic. Additionally, this review study is highly significant as it provides more important information of AI applications in forecasting the prevalence of this pandemic. Twit Text FOAVip Artificial Intelligence for Forecasting the Prevalence of COVID-19 Pandemic: An Overview ????Healthcare (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=34946340 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34946340 #FOAvip English Wikipedia <ref>{{Cite pmid|34946340}}</ref> Artificial Intelligence for Forecasting the Prevalence of COVID-19 Pandemic: An Overview #MMPMID34946340 Elsheikh AH; Saba AI; Panchal H; Shanmugan S; Alsaleh NA; Ahmadein M Healthcare (Basel) 2021[Nov]; 9 (12): ä PMID34946340show ga Since the discovery of COVID-19 at the end of 2019, a significant surge in forecasting publications has been recorded. Both statistical and artificial intelligence (AI) approaches have been reported; however, the AI approaches showed a better accuracy compared with the statistical approaches. This study presents a review on the applications of different AI approaches used in forecasting the spread of this pandemic. The fundamentals of the commonly used AI approaches in this context are briefly explained. Evaluation of the forecasting accuracy using different statistical measures is introduced. This review may assist researchers, experts and policy makers involved in managing the COVID-19 pandemic to develop more accurate forecasting models and enhanced strategies to control the spread of this pandemic. Additionally, this review study is highly significant as it provides more important information of AI applications in forecasting the prevalence of this pandemic. äArtificial Intelligence for Forecasting the Prevalence of COVID-19 Pan(epmc).pdf DeepDyve Pubget Overpricing