Prospective prediction of anxiety onset in the Canadian longitudinal study on aging (CLSA): A machine learning study.
Journal:
Journal of affective disorders
PMID:
38670463
Abstract
BACKGROUND: Anxiety disorders are among the most common mental health disorders in the middle aged and older population. Because older individuals are more likely to have multiple comorbidities or increased frailty, the impact of anxiety disorders on their overall well-being is exacerbated. Early identification of anxiety disorders using machine learning (ML) can potentially mitigate the adverse consequences associated with these disorders.