Predictive Healthcare Modeling For Early Pandemic Assessment Leveraging Deep Auto Regressor Neural Prophet

This article discusses the use of NeuralProphet, a hybrid modular framework, to enhance the forecasting performance of pandemics. The framework utilizes two neural network modules and is optimized for multivariate multi-step forecasting. The results show a significant reduction in forecasting error compared to traditional methods, making it a potential tool for real-time decision-making in highly infectious diseases.