Ahmad Maghool, Mahmoud Bakhshi, Sedigheh Rastaghi, Mostafa Rad
Relationship between spiritual intelligence and intolerance of uncertainty, anxiety and fear of Corona in the elderly
Journal of education and health promotion
suicide secondleading cause death among adolescents associated clusters suicides despite numerous studies preventable cause death focus primarily single nations traditional statistical methods study aims develop predictive model adolescent suicidal thinking using multinational data sets machine learning ml used data korea youth risk behavior webbased survey 566875 adolescents aged 13 18 years conducted external validation using youth risk behavior survey 103874 adolescents norways university national general survey 19574 adolescents several treebased ml models developed feature importance shapley additive explanations values analyzed identify risk factors adolescent suicidal thinking trained korea youth risk behavior webbased survey data south korea 95 ci xgboost model reported area receiver operating characteristic auroc curve 9006 95 ci 89979016 displaying superior performance compared models external validation using youth risk behavior survey data united states university national general survey norway xgboost model achieved aurocs 8309 8127 respectively across data sets xgboost consistently outperformed models highest auroc score selected optimal model terms predictors suicidal thinking feelings sadness despair influential accounting 574 impact followed stress status 198 followed age 57 household income 4 academic achievement 34 sex 21 others contributed less 2 study used ml integrating diverse data sets 3 countries address adolescent suicide findings highlight important role emotional health indicators predicting suicidal thinking among adolescents specifically sadness despair identified significant predictors followed stressful conditions age findings emphasize critical need early diagnosis prevention mental health issues adolescence