Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1007/s11356-021-13824-7 http://scihub22266oqcxt.onion/10.1007/s11356-021-13824-7 33840016!8035887!33840016     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Environ+Sci+Pollut+Res+Int 2021 ; 28 (30): 40496-40506 Nephropedia Template TP {{tp|p=33840016|t=2021. The COVID-19 pandemic: prediction study based on machine learning models |pdf=|usr=}}{{33840016}} gab.com Text The COVID-19 pandemic: prediction study based on machine learning models JO: Environ Sci Pollut Res Int http://www.kidney.de/pget.php?&tw=1&pmid=33840016 #FOAvip COVID-19 was first discovered in Wuhan, China in December 2019. It is one of the worst pandemics in human history. Recent studies reported that COVID-19 is transmitted among humans by droplet infection or direct contact. COVID-19 pandemic has invaded more than 210 countries around the world and as of February 18(th), 2021, just after a year has passed, a total of 110,533,973 confirmed cases of COVID-19 were reported and its death toll reached about 2,443,091. COVID-19 is a new member of the family of corona viruses, its nature, behaviour, transmission, spread, prevention, and treatment are to be investigated. Generally, a huge amount of data is accumulating regarding the COVID-19 pandemic, which makes hot research topics for machine learning researchers. However, the panicked world's population is asking when the COVID-19 will be over? This study considered machine learning approaches to predict the spread of the COVID-19 in many countries. The experimental results of the proposed model showed that the overall R2 is 0.99 from the perspective of confirmed cases. A machine learning model has been developed to predict the estimation of the spread of the COVID-19 infection in many countries and the expected period after which the virus can be stopped. Globally, our results forecasted that the COVID-19 infections will greatly decline during the first week of September 2021 when it will be going to an end shortly afterward. Twit Text FOAVip The COVID-19 pandemic: prediction study based on machine learning models ????Environ Sci Pollut Res Int http://www.kidney.de/pget.php?&tw=1&pmid=33840016 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33840016 #FOAvip English Wikipedia <ref>{{Cite pmid|33840016}}</ref> The COVID-19 pandemic: prediction study based on machine learning models #MMPMID33840016 Malki Z; Atlam ES; Ewis A; Dagnew G; Ghoneim OA; Mohamed AA; Abdel-Daim MM; Gad I Environ Sci Pollut Res Int 2021[Aug]; 28 (30): 40496-40506 PMID33840016show ga COVID-19 was first discovered in Wuhan, China in December 2019. It is one of the worst pandemics in human history. Recent studies reported that COVID-19 is transmitted among humans by droplet infection or direct contact. COVID-19 pandemic has invaded more than 210 countries around the world and as of February 18(th), 2021, just after a year has passed, a total of 110,533,973 confirmed cases of COVID-19 were reported and its death toll reached about 2,443,091. COVID-19 is a new member of the family of corona viruses, its nature, behaviour, transmission, spread, prevention, and treatment are to be investigated. Generally, a huge amount of data is accumulating regarding the COVID-19 pandemic, which makes hot research topics for machine learning researchers. However, the panicked world's population is asking when the COVID-19 will be over? This study considered machine learning approaches to predict the spread of the COVID-19 in many countries. The experimental results of the proposed model showed that the overall R2 is 0.99 from the perspective of confirmed cases. A machine learning model has been developed to predict the estimation of the spread of the COVID-19 infection in many countries and the expected period after which the virus can be stopped. Globally, our results forecasted that the COVID-19 infections will greatly decline during the first week of September 2021 when it will be going to an end shortly afterward. |*COVID-19[MESH] |*Pandemics[MESH] |Forecasting[MESH] |Humans[MESH] |Machine Learning[MESH]The COVID-19 pandemic: prediction study based on machine learning mode(epmc).pdf DeepDyve Pubget Overpricing