HEALTH INFORMATICS SEMINAR SERIES
- December 6, 2022
- 12:00 PM - 1:00 CST
- ZOOM INVITATION
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HEALTH INFORMATICS AND DATA SCIENCE
M. SAMIE TOOTOONI, PhD, mtootooni@luc.edu - Open to the public.
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Details
*DESIGNING THE MDSCAN FRAMEWORK FOR MENTAL HEALTH SCREENING*
Salih Tutun, PhD,
Faculty & Researcher of Olin Business School, Washington University in St. Louis, and Consultant of Cobsmind AI and DNB Analytics
Mental health disorders, such as depression, anxiety, and bipolar disorder, affect approximately one billion people worldwide, costing the global economy trillions of dollars in disability payments and lost productivity. A significant proportion of individuals with mental disorders do not receive treatment or the quality of care they need, often due to resource shortages. This study attempts to address this growing mental health problem by using a computational design science paradigm to develop a new explainable AI (XAI) framework (as an artifact) for helping to diagnose, monitor, and treat mental disorders. With designing the Psikometrist.com platform, we collect psychological data with the SCL-90-R instrument, we built an explainable AI framework that can help experts diagnose and monitor ten different mental disorders. A field experiment with N observations shows that our approach outperformed traditional approaches with low interpretability but high predictive accuracy, while simultaneously identifying mental disorder-related features that are not available from those models.
For more information on previous and future Health Informatics Seminars, please use link:https://www.luc.edu/parkinson/researchandpractice/choir/health-informatics-seminar-series/. Please feel free to contact Dr. Tootooni for additional information regarding the Health Informatics Seminar Series presentations.
