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10.1007/s11831-020-09472-8 http://scihub22266oqcxt.onion/10.1007/s11831-020-09472-8 32837183!7399353!32837183     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Arch+Comput+Methods+Eng 2021 ; 28 (4): 2645-2653 Nephropedia Template TP {{tp|p=32837183|t=2021. The Number of Confirmed Cases of Covid-19 by using Machine Learning: Methods and Challenges |pdf=|usr=}}{{32837183}} gab.com Text The Number of Confirmed Cases of Covid-19 by using Machine Learning: Methods and Challenges JO: Arch Comput Methods Eng http://www.kidney.de/pget.php?&tw=1&pmid=32837183 #FOAvip Covid-19 is one of the biggest health challenges that the world has ever faced. Public health policy makers need the reliable prediction of the confirmed cases in future to plan medical facilities. Machine learning methods learn from the historical data and make predictions about the events. Machine learning methods have been used to predict the number of confirmed cases of Covid-19. In this paper, we present a detailed review of these research papers. We present a taxonomy that groups them in four categories. We further present the challenges in this field. We provide suggestions to the machine learning practitioners to improve the performance of machine learning methods for the prediction of confirmed cases of Covid-19. Twit Text FOAVip The Number of Confirmed Cases of Covid-19 by using Machine Learning: Methods and Challenges ????Arch Comput Methods Eng http://www.kidney.de/pget.php?&tw=1&pmid=32837183 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32837183 #FOAvip English Wikipedia <ref>{{Cite pmid|32837183}}</ref> The Number of Confirmed Cases of Covid-19 by using Machine Learning: Methods and Challenges #MMPMID32837183 Ahmad A; Garhwal S; Ray SK; Kumar G; Malebary SJ; Barukab OM Arch Comput Methods Eng 2021[]; 28 (4): 2645-2653 PMID32837183show ga Covid-19 is one of the biggest health challenges that the world has ever faced. Public health policy makers need the reliable prediction of the confirmed cases in future to plan medical facilities. Machine learning methods learn from the historical data and make predictions about the events. Machine learning methods have been used to predict the number of confirmed cases of Covid-19. In this paper, we present a detailed review of these research papers. We present a taxonomy that groups them in four categories. We further present the challenges in this field. We provide suggestions to the machine learning practitioners to improve the performance of machine learning methods for the prediction of confirmed cases of Covid-19. äThe Number of Confirmed Cases of Covid-19 by using Machine Learning: M(epmc).pdf DeepDyve Pubget Overpricing