AINeutralarXiv – CS AI · 15h ago6/10
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SL-BiLEM: Structured Learnable Behavior-in-the-Loop Epidemic Modeling for Forecasting and Policy Evaluation
Researchers introduce SL-BiLEM, a machine learning framework that improves epidemic forecasting by accounting for how human behavior changes in response to disease spread and policy interventions. The model uses physical constraints to maintain accuracy even when facing novel policy scenarios, demonstrating 76% improvement over existing neural baselines and potential applications for public health decision-making.