AHRQ-Funded Projects

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Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation

Description: 

This project will apply machine learning against a large data set to develop a model to both understand and predict surgical cancellations on individual pediatric patients at two pediatric surgical sites.

Principal Investigator: 
Jayant Pratap
Project Dates: 
September 1, 2016 to August 31, 2019