Community-Engaged: Machine Learning and Health Equity by ThinkResearch

"Sexual orientation and gender identity demographics are not routinely and uniformly collected in electronic health records," says Harry Reyes, MAS, a doctoral candidate at Columbia University. In the fourth episode of this series, Reyes and Li Zhou, MD, PhD, of Brigham and Women’s Hospital, discuss their research using machine learning and natural language processing to improve data collection of LGBTQ patients.