منابع مشابه
Predicting Adolescent Suicide Attempts with Neural Networks
Though suicide is a major public health problem in the US, machine learning methods are not commonly used to predict an individual’s risk of attempting/committing suicide. In the present work, starting with an anonymized collection of electronic health records for 522,056 unique, California-resident adolescents, we develop neural network models to predict suicide attempts. We frame the problem ...
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BACKGROUND There is growing evidence of an association of a number of subjective and objective sleep parameters (especially nightmares) and elevated suicidal risk in different clinical populations as well as in the general populations. SUBJECTS AND METHODS This is a cross-sectional naturalistic study of 52 inpatients (28 females and 24 males, aged from 24 to 75 years) meeting criteria for a c...
متن کاملPredicting future suicide attempts among depressed suicide ideators: a 10-year longitudinal study.
Suicidal ideation and attempts are a major public health problem. Research has identified many risk factors for suicidality; however, most fail to identify which suicide ideators are at greatest risk of progressing to a suicide attempt. Thus, the present study identified predictors of future suicide attempts in a sample of psychiatric patients reporting suicidal ideation. The sample comprised 4...
متن کاملPredicting National Suicide Numbers with Social Media Data
Suicide is not only an individual phenomenon, but it is also influenced by social and environmental factors. With the high suicide rate and the abundance of social media data in South Korea, we have studied the potential of this new medium for predicting completed suicide at the population level. We tested two social media variables (suicide-related and dysphoria-related weblog entries) along w...
متن کاملPredicting Suicide Attacks: A Fuzzy Soft Set Approach
This paper models a decision support system to predict the occurance of suicide attack in a given collection of cities. The system comprises two parts. First part analyzes and identifies the factors which affect the prediction. Admitting incomplete information and use of linguistic terms by experts, as two characteristic features of this peculiar prediction problem we exploit the Theory of Fuzz...
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ژورنال
عنوان ژورنال: American Journal of Psychiatry
سال: 2020
ISSN: 0002-953X,1535-7228
DOI: 10.1176/appi.ajp.2020.20071138