Incorporating Social and Behavioural Determinants of Health into Outcome Research Using Machine Learning
This research leverages structured and free-text data in electronic health records to develop natural language processing and machine learning models that will help develop outcome prediction models and tailored interventions in our health system.
Lead: Zahra Shakeri
Dr. Zahra Shakeri is an Assistant Professor of Health Informatics and Information Visualization and the director of the Health Informatics, Visualization, and Equity (HIVE) Lab at the Institute of Health Policy, Management and Evaluation at the Dalla Lana School of Public Health, University of Toronto. She received her PhD in Computer Science from the University of Calgary and was a Postdoctoral Fellow at Gehlenborg Lab in the Department of Biomedical Informatics at Harvard Medical School. Dr. Shakeri’s research centers on health informatics, machine learning, natural language processing, information visualization, precision (public) health, digital health, and social media analysis.