RobustPrediction Model of Covid-19 using Deep Learningalgorithm

RobustPrediction Model of Covid-19 using Deep Learningalgorithm

Covid-19, Prediction, Deep Learning, CNN

Predicting the Covid-19 outbreak in a large dataset is a difficult task and complex problem. Many communities have put up different approaches to forecast COVID-19-positivecases. Conventional methods continue to have problems predicting the real trend situations, nevertheless. In this experiment, we use CNN to develop our model by examining attributes from the enormous COVID-19dataset to anticipate long-lasting outbreaks and provide early intervention. Based on the outcomes of the experiment, our model can achieve sufficient accuracy with a negligible loss. In this study, we compute the function that yields RMSE 0.00070 and MAPE 0,02440 for new case prediction and RMSE 0.00468 and MAPE 0.06446 for new death prediction. As a result, our suggested strategy can accurately forecast the trend of positive cases in Indonesia.

Rike Pradila

https://ijicom.respati.ac.id/index.php/ijicom/article/view/45/32

August 2022

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