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This research prospectively evaluated a machine learning algorithm that identifies candidates for neurologic surgery to control epilepsy.
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.
This project will enhance an existing Web-based portal, myADHDportal.com, to integrate behavioral tools alongside existing medication management tools for attention deficit hyperactivity disorder (ADHD).
Implemented advanced information technology in rural and small community hospitals including Web-based business intelligence tools, Internet connectivity, and standardized national measures of patient safety and quality; also provided education intervention to support implementation efforts and evaluate its effects on patient safety and quality.