Author: Laszlo Robert Kolozsvari; Tamas Berczes; Andras Hajdu; Rudolf Gesztelyi; Attila TIba; Imre Varga; Gergo Jozsef Szollosi; Szilvia Harsanyi; Szabolcs Garboczy; Judit Zsuga
Title: Predicting the epidemic curve of the coronavirus (SARS-CoV-2) disease (COVID-19) using artificial intelligence Document date: 2020_4_22
ID: 35xpmdbj_13
Snippet: The training data set was obtained by averaging the daily incidence rates per 100 000 176 inhabitants across the 17 countries included, for each day in the time series. When calculating 177 the average, missing data was left blank, i.e. NULL, e.g. countries that did not contain a data the author/funder, who has granted medRxiv a license to display the preprint in perpetuity......
Document: The training data set was obtained by averaging the daily incidence rates per 100 000 176 inhabitants across the 17 countries included, for each day in the time series. When calculating 177 the average, missing data was left blank, i.e. NULL, e.g. countries that did not contain a data the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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