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.