de la Garza AG, Blanco C, Olfson, et al. - This study was attempted to distinguish future suicide attempt risk factors in the general population using a data-driven machine learning approach including more than 2,500 questions from a large, nationally representative survey of US adults. In this study, 20,089 participants were female (weighted proportion, 52.1%) out of 34,653. The results exhibited that several well-known risk factors of suicide attempts were confirmed, such as previous suicidal behaviors and ideation, and new risks were identified, including functional impairment resulting from mental disorders and socioeconomic disadvantage, after searching through more than 2,500 survey questions. These findings may help guide future clinical evaluation and the development of new suicide risk scales. The model identified 1.8% of the US population to be at a 10% or greater risk of suicide attempt.