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Author (up) Barros, J.; Morales, S.; Echavarri, O.; Garcia, A.; Ortega, J.; Asahi, T.; Moya, C.; Fischman, R.; Maino, M.P.; Nunez, C. url  doi
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  Title Suicide detection in Chile: proposing a predictive model for suicide risk in a clinical sample of patients with mood disorders Type Journal Article
  Year 2017 Publication Revista Brasileira de Psiquiatria (Sao Paulo, Brazil : 1999) Abbreviated Journal Rev Bras Psiquiatr  
  Volume 39 Issue 1 Pages 1-11  
  Keywords Adolescent; Adult; Chile; Female; Humans; Male; Mental Disorders/complications/*psychology; Middle Aged; Models, Theoretical; Risk Factors; Sensitivity and Specificity; Socioeconomic Factors; Suicide/*prevention & control; Surveys and Questionnaires; Young Adult  
  Abstract Objective:: To analyze suicidal behavior and build a predictive model for suicide risk using data mining (DM) analysis. Methods:: A study of 707 Chilean mental health patients (with and without suicide risk) was carried out across three healthcare centers in the Metropolitan Region of Santiago, Chile. Three hundred forty-three variables were studied using five questionnaires. DM and machine-learning tools were used via the support vector machine technique. Results:: The model selected 22 variables that, depending on the circumstances in which they all occur, define whether a person belongs in a suicide risk zone (accuracy = 0.78, sensitivity = 0.77, and specificity = 0.79). Being in a suicide risk zone means patients are more vulnerable to suicide attempts or are thinking about suicide. The interrelationship between these variables is highly nonlinear, and it is interesting to note the particular ways in which they are configured for each case. The model shows that the variables of a suicide risk zone are related to individual unrest, personal satisfaction, and reasons for living, particularly those related to beliefs in one's own capacities and coping abilities. Conclusion:: These variables can be used to create an assessment tool and enables us to identify individual risk and protective factors. This may also contribute to therapeutic intervention by strengthening feelings of personal well-being and reasons for staying alive. Our results prompted the design of a new clinical tool, which is fast and easy to use and aids in evaluating the trajectory of suicide risk at a given moment.  
  Address Private practice  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1516-4446 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:27783715 Approved no  
  Call Number ref @ user @ Serial 97654  
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