3 - Predicting Complex Clinical Course in Eating Disorders Using Machine Learning
Tracks
| Tuesday, May 12, 2026 |
| 11:20 AM - 12:35 PM |
Overview
Oral Presentation
Presented by: Dr. Stephanie Ryall
Details
By the end of this session participants will be able to:
-Describe supervised machine learning approaches for clinical prediction and outline their advantages over traditional logistic regression.
-Explain the current data limitations within the eating disorder field and examine if biopsychosocial patient data can enhance prediction of long-term clinical outcomes.
Speaker
Dr. Stephanie Ryall
PhD Candidate
CHEO RI/University of Ottawa
Presenter