Accurate Diagnosis of Suicide Ideation/Behavior Using Robust Ensemble Machine Learning: A University Student Population in the Middle East and North Africa (MENA) Region

被引:12
作者
Naghavi, Azam [1 ]
Teismann, Tobias [2 ]
Asgari, Zahra [3 ]
Mohebbian, Mohammad Reza [4 ]
Mansourian, Marjan [5 ,6 ]
Mananas, Miguel Angel [5 ,7 ]
机构
[1] Univ Isfahan, Fac Educ & Psychol, Dept Counseling, Azadi Sq, Esfahan 8174673441, Iran
[2] Ruhr Univ Bochum, Dept Clin Psychol & Psychotherapy, D-44787 Bochum, Germany
[3] Univ Isfahan, Fac Educ & Psychol, Dept Counseling, Esfahan 8174673441, Iran
[4] Univ Saskatchewan, Dept Elect & Comp Engn, Saskatoon, SK S7N 5A9, Canada
[5] Univ Politecn Catalunya Barcelona Tech UPC, Automat Control Dept ESAII, Biomed Engn Res Ctr CREB, Barcelona 08028, Spain
[6] Isfahan Univ Med Sci, Hlth Sch, Epidemiol & Biostat Dept, Esfahan 8174673461, Iran
[7] Biomed Res Networking Ctr Bioengn Biomat & Nanome, Madrid 28029, Spain
关键词
suicide; traumatic events; screening tool; university students; machine learning; Middle East and North Africa (MENA); POSITIVE MENTAL-HEALTH; POSTTRAUMATIC-STRESS-DISORDER; PSYCHOLOGICAL DISTRESS; RISK; PREDICTION; GROWTH; ADOLESCENTS; RESILIENCE; IDEATION; BEHAVIOR;
D O I
10.3390/diagnostics10110956
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Suicide is one of the most critical public health concerns in the world and the second cause of death among young people in many countries. However, to date, no study can diagnose suicide ideation/behavior among university students in the Middle East and North Africa (MENA) region using a machine learning approach. Therefore, stability feature selection and stacked ensembled decision trees were employed in this classification problem. A total of 573 university students responded to a battery of questionnaires. Three-fold cross-validation with a variety of performance indices was sued. The proposed diagnostic system had excellent balanced diagnosis accuracy (AUC = 0.90 [CI 95%: 0.86-0.93]) with a high correlation between predicted and observed class labels, fair discriminant power, and excellent class labeling agreement rate. Results showed that 23 items out of all items could accurately diagnose suicide ideation/behavior. These items were psychological problems and how to experience trauma, from the demographic variables, nine items from Post-Traumatic Stress Disorder Checklist (PCL-5), two items from Post Traumatic Growth (PTG), two items from the Patient Health Questionnaire (PHQ), six items from the Positive Mental Health (PMH) questionnaire, and one item related to social support. Such features could be used as a screening tool to identify young adults who are at risk of suicide ideation/behavior.
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页数:22
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