Predicting suicide risk in real-time crisis hotline chats integrating machine learning with psychological factors: Exploring the black box.

BACKGROUND: This study addresses the suicide risk predicting challenge by exploring the predictive ability of machine learning (ML) models integrated with theory-driven psychological risk factors in real-time crisis hotline chats. More importantly, we aimed to understand the specific theory-driven factors contributing to the ML prediction of suicide risk. METHOD: The dataset consisted of 17,654 crisis hotline chat sessions classified dichotomously as suicidal or not. We created a suicide risk factors-based lexicon (SRF), which encompasses language representations of key risk factors derived from the main suicide theories. The ML model (Suicide Risk-Bert; SR-BERT) was trained using natural language processing techniques incorporating the SRF lexicon. RESULTS: The results showed that SR-BERT outperformed the other models. Logistic regression analysis identified several theory-driven risk factors significantly associated with suicide risk, the prominent ones were hopelessness, history of suicide, self-harm, and thwarted belongingness. LIMITATIONS: The lexicon is limited in its ability to fully encompass all theoretical concepts related to suicide risk, nor to all the language expressions of each concept. The classification of chats was determined by trained but non-professionals in metal health. CONCLUSION: This study highlights the potential of how ML models combined with theory-driven knowledge can improve suicide risk prediction. Our study underscores the importance of hopelessness and thwarted belongingness in suicide risk and thus their role in suicide prevention and intervention.

The phenomenon of suicide bombing: a review of psychological and nonpsychological factors.

This article reviews the literature on the phenomenon of suicide bombing. It addresses the question of just how much a psychological understanding of the individuals involved can aid in prevention. The article looks at historical, epidemiological, and cultural perspectives and compares the nonpsychological and psychological approaches to suicide bombing. On the basis of the material available it seems that social processes such as group-dynamic indoctrination and political factors are decisive in analyzing this problem. Cultural, nationalistic, and religious factors are important. The conclusion is that in suicidal bombing, suicide is instrumental in the context of war, not in the context of psychopathology. Suicide bombing is instrumental in realizing fatalities, and it is only one of many weapons. The act of killing in warfare is more important to understanding suicidal terrorism than the act of suicide. This explains why psychological profiling of suicidal terrorists has to date not been successful.