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A Study in Transfer Learning: Leveraging Data from Multiple Hospitals to make Hospital-Specific Prediction

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This research aims to investigate three approaches to learning hospital-specific predictions about the risk of hospital-associated infection with Clostridium difficile, and perform a comparative analysis of the value of different ways of using external data to enhance hospital-specific predictions. In conclusion it shows how external data from other hospitals can be successfully and efficiently incorporated into hospital-specific models...(See More)

Jenna Wiens, John Guttag, Eric Horvitz