Presentation description
Our research utilized patient-specific computational fluid dynamics to analyze embolic strokes of undetermined source in a cross-sectional study. We analyze wall shear stress, topological shear variation index, and much more. These parameters are then used to identify patterns such that we can develop an interpretable binary classification tree that will be utilized to identify where stroke is occurring.
Presenter Name: Nathan Sudbury
Presentation Type: Poster
Presentation Format: Virtual
Presentation #42
College: Engineering
School / Department: Mechanical Engineering
Email: u1230449@utah.edu
Research Mentor: Amir Arzani
Time: 9:00 AM