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10.1017/S0950268820002174 http://scihub22266oqcxt.onion/10.1017/S0950268820002174 32951626!7533481!32951626     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Epidemiol+Infect 2020 ; 148 (ä): e222 Nephropedia Template TP {{tp|p=32951626|t=2020. Predictions of coronavirus COVID-19 distinct cases in Pakistan through an artificial neural network |pdf=|usr=}}{{32951626}} gab.com Text Predictions of coronavirus COVID-19 distinct cases in Pakistan through an artificial neural network JO: Epidemiol Infect http://www.kidney.de/pget.php?&tw=1&pmid=32951626 #FOAvip This study presents the main motivation to investigate the COVID-19 pandemic, a major threat to the whole world from the day when it first emerged in China city of Wuhan. Predictions on the number of cases of COVID-19 are crucial in order to prevent and control the outbreak. In this research study, an artificial neural network with rectifying linear unit-based technique is implemented to predict the number of deaths, recovered and confirmed cases of COVID-19 in Pakistan by using previous data of 137 days of COVID-19 cases from the day 25 February 2020 when the first two cases were confirmed, until 10 July 2020. The collected data were divided into training and test data which were used to test the efficiency of the proposed technique. Furthermore, future predictions have been made by the proposed technique for the next 7 days while training the model on whole available data. Twit Text FOAVip Predictions of coronavirus COVID-19 distinct cases in Pakistan through an artificial neural network ????Epidemiol Infect http://www.kidney.de/pget.php?&tw=1&pmid=32951626 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32951626 #FOAvip English Wikipedia <ref>{{Cite pmid|32951626}}</ref> Predictions of coronavirus COVID-19 distinct cases in Pakistan through an artificial neural network #MMPMID32951626 Ahmad I; Muhammad Asad S Epidemiol Infect 2020[Sep]; 148 (ä): e222 PMID32951626show ga This study presents the main motivation to investigate the COVID-19 pandemic, a major threat to the whole world from the day when it first emerged in China city of Wuhan. Predictions on the number of cases of COVID-19 are crucial in order to prevent and control the outbreak. In this research study, an artificial neural network with rectifying linear unit-based technique is implemented to predict the number of deaths, recovered and confirmed cases of COVID-19 in Pakistan by using previous data of 137 days of COVID-19 cases from the day 25 February 2020 when the first two cases were confirmed, until 10 July 2020. The collected data were divided into training and test data which were used to test the efficiency of the proposed technique. Furthermore, future predictions have been made by the proposed technique for the next 7 days while training the model on whole available data. |*Neural Networks, Computer[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology/mortality[MESH] |Forecasting[MESH] |Humans[MESH] |Pakistan/epidemiology[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology/mortality[MESH]Predictions of coronavirus COVID-19 distinct cases in Pakistan through(epmc).pdf DeepDyve Pubget Overpricing