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DeepCov: Effective Prediction Model of Covid-19 using CNN algorithm
ISSN: ISSN - N268
Publisher: author
DeepCov: Effective Prediction Model of Covid-19 using CNN algorithm
Indexed in
Technology and Engineering
ARTICLE-FACTOR
1.3
Article Basics Score: 2
Article Transparency Score: 2
Article Operation Score: 3
Article Articles Score: 3
Article Accessibility Score: 2
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International Category Code (ICC):
ICC-1802
Publisher: International Journal Of Informatics And Computation (ijic..
eISSN
:
ISSN - N268
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Abstract
Covid-19 outbreak prediction is a challenging task and complicated problem in a vast dataset. Several communities have proposed various methods to predict the Covid-19 positive cases. However, conventional techniques remain drawbacks to predicting the actual trend cases. In this experiment, we adopt CNN to build our model by analyzing features from the huge Covid-19 dataset to predict long-term outbreaks to present early prevention. Based on the experiment results, our model can achieve adequate accuracy with a tiny loss. In this study, we calculate the function which produces RMSE 0.00070 and MAPE 0,02440 to predict new cases and get RMSE 0.00468 and MAPE 0.06446 for predicting new deaths. Therefore, our proposed method can achieve good accuracy in predicting the trend of positive cases in the Indonesia Covid-19 outbreak.
