Enhancing Machine Learning Frameworks with Expertise: Use Cases from Mainting Healthcare Capacity

Music City Center 

Machine learning techniques have been used in a variatey of different contexts such as engineering, healthcare, and business. In this work, we propose a Multi-Task learning framework incorporating expert opinions through a novel penalty that utilizes fitted values. We also investigate other machine learning frameworks where expertise can be integrated. Insights on computational efficiency and model selection are also provided. Finally, we present. a use case for our approach in the context of maintaining health care capacity in dynamic settings.