Machine Learning Approaches to Identify Physical, Psychological, and Social Predictors of Worsening Frailty Transitions Among Community‐Dwelling Older Adults: A Longitudinal Cohort Study

Worsening frailty transitions result from multifactorial and complex interactions. Machine learning methods can effectively handle multidimensional data and reveal patterns not captured by traditional statistical approaches. These findings enhance our understanding of frailty progression and support the development of targeted interventions for older adults.