Classification of Suicide Attempts through a Machine Learning Algorithm Based on Multiple Systemic Psychiatric Scales
نویسندگان
چکیده
منابع مشابه
Classification of Suicide Attempts through a Machine Learning Algorithm Based on Multiple Systemic Psychiatric Scales
Classification and prediction of suicide attempts in high-risk groups is important for preventing suicide. The purpose of this study was to investigate whether the information from multiple clinical scales has classification power for identifying actual suicide attempts. Patients with depression and anxiety disorders (N = 573) were included, and each participant completed 31 self-report psychia...
متن کاملSuicide attempts and emergency room psychiatric consultation
BACKGROUND Suicidal behaviours are major public health concerns worldwide. They are associated with risk factors that vary with age and gender, occur in combination, and may change over time. The aim of our study was to investigate how frequently patients visiting a hospital emergency room (ER) require a psychiatric consultation for attempted suicide, and to outline the characteristics of this ...
متن کاملSuicide attempts among Turkish psychiatric patients.
OBJECTIVES The aim of this study was to investigate the sociodemographic characteristics of those who attempt suicide in an Islamic country, the effect of religion on suicide attempts, and the frequency of DSM-III-R diagnoses in suicide attempters referred to the Gazi Medical School Psychiatry Department. METHOD Medical records of 185 cases of suicide attempts were reviewed. RESULTS There w...
متن کاملProfiling psychiatric inpatient suicide attempts in Japan.
Suicide is an adverse event that can occur even when patient are hospitalized in psychiatric facilities. This study delineates the demographic characteristics of suicide attempts in mental hospitals and psychiatric wards of general hospitals in Japan, a country where the suicide rate is remarkably high. Analyses of incident reports on serious suicide attempts in psychiatric inpatients were perf...
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ژورنال
عنوان ژورنال: Frontiers in Psychiatry
سال: 2017
ISSN: 1664-0640
DOI: 10.3389/fpsyt.2017.00192