Objectives:

The participant will be able to:

 

  • Summarize the methodology for collecting and analyzing postural sway data, including equipment, protocols, and exclusion criteria.
  • Interpret demographic and clinical variables associated with fall risk, including age, pain scores, and diagnostic descriptors.
  • Evaluate the application of machine learning algorithms in fall risk prediction, including feature extraction, model selection, and performance metrics.
  • Identify key biomechanical and clinical features predictive of fall risk.
Session date: 
10/08/2025 - 12:00pm to 1:00pm CDT
Location: 
Virtual
United States
  • 1.00 AMA PRA Category 1 Credit
  • 1.00 AOA Category 1-A
  • 1.00 HSC Participation
Please login or register to take this course.
Faculty List: 
Speaker(s)

Rita Patterson, PhD

has no relevant financial relationships to disclose at this time.