A disease-agnostic approach to ensemble learning for infectious disease forecasting - PubMed
4 hours ago
- #infectious disease forecasting
- #ensemble learning
- #disease-agnostic
- Proposes a disease-agnostic ensemble learning approach called epiFFORMA for infectious disease forecasting.
- epiFFORMA determines component weights without historical data, making it applicable to emerging diseases.
- Demonstrates better performance than naive equal-weighting strategies and individual component models across multiple diseases.
- Leverages synthetic data to harness epidemiological dynamics, building upon the FFORMA model from the M4 forecasting competition.
- Validated on outbreaks of COVID-19, dengue, measles, and other infectious diseases.