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Firstly, the everyday feedback data were subjected to a normalization process. Afterward, the multilayer LSTM network model, that was a deep discovering method, was created and then provided into a dropout level and a fully connected layer. Eventually, the weights of the skilled model were used to predict health equipment demand and outbreak distributing into the following days. In experimental studies, 77-day COVID-19 data collected through the statistics info
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