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Robust Multi-Modal Forecasting: Integrating Static and Dynamic Features
- Time series forecasting is crucial in healthcare for predicting future health trajectories.
- Recent work focuses on transparency and explainability by integrating static and dynamic features.
- This new approach incorporates exogenous time series features for interpretable patterns.
- Experiments show that the method maintains predictability, interpretability, and robustness.
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