Exploration of an interpretable machine learning-based screening manner for low muscle mass among Chinese community-dwelling older adults using routine physical examination information

This study demonstrates that routine physical examination information could be a valuable component to incorporate into targeted assessments to screen low muscle mass among community-dwelling older adults. Building on this foundation, an interpretable machine learning approach was explored, which proves well-suited as a screening manner for low muscle mass to guide further standard assessment. Its suitability stems from superior predictive performance and operational feasibility in resource-constrained community health settings.