Unveiling Fall Triggers in Older Adults: A Machine Learning Graphical Model Analysis
Tho Nguyen,
Ladda Thiamwong,
Qian Lou
et al.
Abstract:While existing research has identified diverse fall risk factors in adults aged 60 and older across various areas, comprehensively examining the interrelationships between all factors can enhance our knowledge of complex mechanisms and ultimately prevent falls. This study employs a novel approach—a mixed undirected graphical model (MUGM)—to unravel the interplay between sociodemographics, mental well-being, body composition, self-assessed and performance-based fall risk assessments, and physical activity patte… Show more
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