Multi-horizon time series forecasting framework with DLinear/NLinear models for ED boarding time prediction, integrated with external contextual data and deployed via an MLOps prototype.
Leveraging machine learning and rule extraction for enhanced transparency in emergency department length of stay prediction
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An Integrated Forecasting Prototype for Emergency Department Boarding Time to Support Proactive Operational Decision Making
Multi-horizon time series forecasting framework with DLinear/NLinear models for ED boarding time prediction, integrated with external contextual data and deployed via an MLOps prototype.