Detecting suicidal risk using MMPI-2 based on machine learning algorithm

Minnesota Multiphasic Personality Inventory-2 (MMPI-2) is a widely used tool for early detection of psychological maladjustment and assessing the level of adaptation for a large group in clinical settings, schools, and corporations. This study aims to evaluate the utility of MMPI-2 in assessing suic...

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Veröffentlicht in:Scientific reports Jg. 11; H. 1; S. 15310 - 9
Hauptverfasser: Kim, Sunhae, Lee, Hye-Kyung, Lee, Kounseok
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Nature Publishing Group UK 28.07.2021
Nature Publishing Group
Nature Portfolio
Schlagworte:
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Accuracy
Humanities and Social Sciences
Learning algorithms
Machine learning
multidisciplinary
Schools
Science
Science (multidisciplinary)
Statistical analysis
Suicide
Suicides & suicide attempts
ISSN:2045-2322, 2045-2322
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Zusammenfassung:Minnesota Multiphasic Personality Inventory-2 (MMPI-2) is a widely used tool for early detection of psychological maladjustment and assessing the level of adaptation for a large group in clinical settings, schools, and corporations. This study aims to evaluate the utility of MMPI-2 in assessing suicidal risk using the results of MMPI-2 and suicidal risk evaluation. A total of 7,824 datasets collected from college students were analyzed. The MMPI-2-Resturcutred Clinical Scales (MMPI-2-RF) and the response results for each question of the Mini International Neuropsychiatric Interview (MINI) suicidality module were used. For statistical analysis, random forest and K-Nearest Neighbors (KNN) techniques were used with suicidal ideation and suicide attempt as dependent variables and 50 MMPI-2 scale scores as predictors. On applying the random forest method to suicidal ideation and suicidal attempts, the accuracy was 92.9% and 95%, respectively, and the Area Under the Curves (AUCs) were 0.844 and 0.851, respectively. When the KNN method was applied, the accuracy was 91.6% and 94.7%, respectively, and the AUCs were 0.722 and 0.639, respectively. The study confirmed that machine learning using MMPI-2 for a large group provides reliable accuracy in classifying and predicting the subject's suicidal ideation and past suicidal attempts.
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ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-021-94839-5