Machine Learning in Medicine (MLxMed) Seminar Series

Speaker: Joon Lee, Associate Professor, Cardiac Sciences & Community Health Sciences University of Calgary

Talk Title: Deep learning-based recurrent prediction of delirium in the intensive care unit

Abstract: Delirium is common in the intensive care unit (ICU) and associated with longer ICU and hospital stays as well as worse patient outcomes including long-term cognitive impairment. Early prediction of impending delirium can lead to efficient allocation of ICU resources and improved patient outcomes via preventive care. Based on rich clinical data from over 43,000 ICU admissions in Alberta, we developed deep learning-based models capable of predicting delirium in the next two 12-hour windows, with new predictions generated every 12 hours. Our best model based on gated recurrent units resulted in areas under the receiver operating characteristic curve around 0.9.

Hosted by the Department of Biomedical Informatics, University of Pittsburgh; the Hariri Institute for Computing, Boston University; and the University of Toronto

If you have any questions about the event or have zoom issues, please contact Maria Bond at bond@pitt.edu.

For attendance details and more information, please visit: http://ml-in-medicine.org/