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10.1007/s40808-021-01086-8 http://scihub22266oqcxt.onion/10.1007/s40808-021-01086-8 33553577!7847231!33553577     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 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       Model+Earth+Syst+Environ 2022 ; 8 (1): 579-589 Nephropedia Template TP {{tp|p=33553577|t=2022. A data analytics approach for COVID-19 spread and end prediction (with a case study in Iran) |pdf=|usr=}}{{33553577}} gab.com Text A data analytics approach for COVID-19 spread and end prediction (with a case study in Iran) JO: Model Earth Syst Environ http://www.kidney.de/pget.php?&tw=1&pmid=33553577 #FOAvip World is now experiencing the new pandemic caused by COVID-19 virus and all countries are affected by this disease specially Iran. From the beginning of the outbreak until April 30, 2020, over 90,000 confirmed cases of COVID-19 have been reported in Iran. Due to socio-economic problems of this disease, it is required to predict the trend of the outbreak and propose a beneficial method to find out the correct trend. In this paper, we compiled a dataset including the number of confirmed cases, the daily number of death cases and the number of recovered cases. Furthermore, by combining case number variables like behavior and policies that are changing over time and machine-learning (ML) algorithms such as logistic function using inflection point, we created new rates such as weekly death rate, life rate and new approaches to mortality rate and recovery rate. Gaussian functions show superior performance which is helpful for government to improve its awareness about important factors that have significant impacts on future trends of this virus. Twit Text FOAVip A data analytics approach for COVID-19 spread and end prediction (with a case study in Iran) ????Model Earth Syst Environ http://www.kidney.de/pget.php?&tw=1&pmid=33553577 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33553577 #FOAvip English Wikipedia <ref>{{Cite pmid|33553577}}</ref> A data analytics approach for COVID-19 spread and end prediction (with a case study in Iran) #MMPMID33553577 Behnam A; Jahanmahin R Model Earth Syst Environ 2022[]; 8 (1): 579-589 PMID33553577show ga World is now experiencing the new pandemic caused by COVID-19 virus and all countries are affected by this disease specially Iran. From the beginning of the outbreak until April 30, 2020, over 90,000 confirmed cases of COVID-19 have been reported in Iran. Due to socio-economic problems of this disease, it is required to predict the trend of the outbreak and propose a beneficial method to find out the correct trend. In this paper, we compiled a dataset including the number of confirmed cases, the daily number of death cases and the number of recovered cases. Furthermore, by combining case number variables like behavior and policies that are changing over time and machine-learning (ML) algorithms such as logistic function using inflection point, we created new rates such as weekly death rate, life rate and new approaches to mortality rate and recovery rate. Gaussian functions show superior performance which is helpful for government to improve its awareness about important factors that have significant impacts on future trends of this virus. äA data analytics approach for COVID-19 spread and end prediction (with(epmc).pdf DeepDyve Pubget Overpricing