Machine learning-based multi-domain model for SOT composite score prediction using quiet standing COP data

Key Points

• The model accurately predicts the composite scores based on the standing center of pressure data collected.
• A notable accuracy of 85% was achieved in predicting scores from the quiet standing data in this analysis.
• This analysis uses a machine learning-based multi-domain model to interpret complex data relationships efficiently.
• Results indicate the potential for improved balance assessment protocols, calling for further validation in diverse settings.