Cynthia Rudin and colleagues from Wisconsin, Harvard and Mass General take first prize at IAAA
Demonstrating the real-world impact of interdisciplinary research, a team of two machine learning experts and two neurologists used interpretable models to predict seizures in ICU patients. Duke University's Cynthia Rudin, Berk Ustun of Harvard's John A. Paulson School of Engineering and Applied Sciences, Aaron Struck from the University of Wisconsin School of Medicine and Public Health, and Massachusetts General Hospital's Brandon Westover won first prize in the 2019 INFORMS Innovative Applications in Analytics Award competition. The winning work was titled, “The Transparent Machine Learning Models for Predicting Seizures in ICU Patients from cEEG Signals.”
The purpose of the INFORMS Analytics Society Innovative Applications in Analytics Award is to recognize the creative and unique application of a combination of analytical techniques in a new area. The prize promotes the awareness and value of the creative combination of analytics techniques in unusual applications to provide insights and business value.
Cynthia Rudin is an associate professor of computer science, electrical and computer engineering, statistical science and mathematics at Duke University, and directs the Prediction Analysis Lab.