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EDEN is a large-scale corpus of anonymized clinical notes from Italian emergency departments, with a subset manually annotated for structured information extraction. It aims to support LLM development for medical applications in Italian.
This paper presents a multi-horizon time series forecasting framework for predicting emergency department boarding time using DLinear and NLinear models, and develops an MLOps web application prototype to support proactive operational decision making.