A classification method for predicting suicide risk

S. V. Davidouski, J. A. Ibragimova, A. V. Goncharik, L. V. Kartun, N. N. Leonov, L. I. Danilova, V. V. Kuzhal, I. S. Zalesskaya, A. N. Tretyk, Yu. M. Mikitski
2020 Proceedings of the National Academy of Sciences of Belarus Medical series  
A model has been developed to classify patients according to the degree of suicidal risk based on social, mental, psychological and biochemical data.Based on the analysis of 15,996 cases of parasuicides and 2,355 cases of suicides, three patient groups were formed: persons who had suicidal attempt with high probability of death (mainly hanging), persons who had suicidal attempt in other ways, and persons who had diagnosed adjustment disorder and did not have suicidal attempts (comparison
more » ... (comparison group). The groups consisted of 40, 80 and 40 people, respectively.For all studied patients fixed socio-demographic data, diagnosis, determined individual and characterological features, measured lipid metabolism in peripheral blood. A total of 32 factors were investigated. A model has been developed to classify patients according to the degree of suicidal risk based on these data.The most important factors for classifying patients by risk of suicide are pronounced motivation for suicide, the type of mental disorder and the type of temperament.
doi:10.29235/1814-6023-2020-17-2-248-256 fatcat:zcwst66rkvazzlz42f3twrjivi