A classification method for predicting suicide risk

Abstract

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 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.

Prognosis of suicidal risk among law enforcement officials including military personnel

“…However, in our opinion, they have a lot of considerable drawbacks: estimates are subjective in their essence; it is time-consuming and costly to conduct them and analyze the results; keys of many questionnaires are available in open access in the Internet. This leads to much greater difficulties in identifying real suicidal ideations of LEOs, makes preventive measures less effective and increases relevance of searching for reliable suicide risk indicators [10,11]. The proper diagnosis and immediate treatment plan for those individuals exhibiting severe depressive traits could prevent up to 70 % casualties of suicide.…”

Prognosis of suicidal risk among law enforcement officials including military personnel

“…Однако, на наш взгляд, они обладают существенными недостатками: носят субъективный характер самооценки, являются довольно затратными по времени проведения и обработке результатов, ключи ко многим опросникам есть в открытом доступе в сети Интернет. Это существенно затрудняет определение истинных суицидальных намерений ССВ, снижает эффективность профилактических мероприятий и делает более актуальным поиск надежных индикаторов суицидального риска [10,11]. Правильная диагностика и немедленно принятые меры в отношении лиц с выраженными депрессивными чертами могут предотвратить до 70 % случаев суицида, поэтому актуальным является построение моделей прогноза суицидального риска на основе объективных показателей организма человека [12].…”