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Real-Time COVID-19 Forecasting Model by amine.bouaine is a document available to read on EtoBox.
What is Real-Time COVID-19 Forecasting Model about?
The document presents a novel machine learning methodology, Augmented ARGONet, for real-time forecasting of COVID-19 activity in Chinese provinces by combining mechanistic model estimates with digital data from internet searches and news media. The methodology demonstrates superior predictive power, outperforming baseline models in 27 out of 32 provinces, and utilizes clustering and data augmentation techniques to enhance model training despite limited historical data. This approach can potentially be adapt
- Author
- amine.bouaine
- Language
- EN