Health and Family Factors Predicting Suicidal Ideation Among Middle-Aged Korean Adults: An Explainable Machine Learning Approach

The ML models demonstrated good-to-excellent predictive performance for SI. These findings emphasize the importance of health, family, and socioeconomic factors, alongside mental health indicators in the prevention of SI among middle-aged adults. Building on these findings, tailored intervention strategies that comprehensively address multidimensional risk factors are essential for effective SI prevention.