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Machine Learning Seminar[In-Person]: Dr. Shiming Yang

University of Maryland School of Medicine


Mathematics/Psychology : 412

Date & Time

March 1, 2024, 2:00 pm3:00 pm


Title: Leveraging Machine Learning for Trauma Patient Care: Insights from the R Adams Cowley Shock Trauma Center

Abstract: The R Adams Cowley Shock Trauma Center (STC) is a level I regional trauma center located in Baltimore downtown. At its bedsides, high-fidelity physiological data are recorded for care planning, clinical decision support, and quality improvement. Annually, the center accumulates more than 30 terabytes of data, encompassing vital signs, lab results, and treatments. Over the last decade, our research group at STC has harnessed automated electronic vital signs monitoring data collection systems to a variety of critical care prediction tasks, including predicting the need of massive transfusion, neurologic decline, length of ICU stay, mortality, etc. To achieve these predictions, we employ a range of machine learning techniques as well as evolving computer engineering solutions. In this talk, we will delve into the intricacies of data collection, processing, feature engineering, and predictive modeling specific to trauma patients. By sharing our experiences and insights, we aim to foster collaboration and enhance trauma care practices.