Machine Learning for Evaluating Hospital Mobility: An Italian Case Study
Vito Santamato,
Caterina Tricase,
Nicola Faccilongo
et al.
Abstract:This study delves into hospital mobility, understood as an indicator of perceived service quality, across the Italian regions of Apulia and Emilia Romagna, utilizing logistic regression among machine learning techniques. The focus is on how structural, operational, and clinical variables impact patient perceptions of service quality, influencing their healthcare choices. Through the analysis of mobility trends with machine learning, significant differences between regions were uncovered, highlighting the influ… Show more
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