Predictive healthcare modeling for early pandemic assessment leveraging deep auto regressor neural prophet

Predictive healthcare modeling for early pandemic assessment leveraging deep auto regressor neural prophet

Abstract In this paper, NeuralProphet (NP), an explainable hybrid modular framework, enhances the forecasting performance of pandemics by adding two neural network modules; auto-regressor (AR) and lagged-regressor (LR). An advanced deep auto-regressor neural network (Deep-AR-Net) model is employed t...

Full description

Bibliographic Details
Main Authors: Sujata Dash, Sourav Kumar Giri, Saurav Mallik, Subhendu Kumar Pani, Mohd Asif Shah, Hong Qin
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Subjects:
Deep learning
Neural prophet
Auto-regressor network
Short-term forecasting
Lagged-regressor
Prophet
Online Access:https://doi.org/10.1038/s41598-024-55973-y

Internet

https://doi.org/10.1038/s41598-024-55973-y

Similar Items