title: Suicide detection in Chile: proposing a predictive model for suicide risk in a clinical sample of patients with mood disorders.
abstract: To analyze suicidal behavior and build a predictive model for suicide risk using data mining (DM) analysis.
  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.
  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.
  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.
authors: Departamento de Psiquiatría, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
authors: Jorge
authors: J
authors: Barros
authors: Departamento de Psiquiatría, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
authors: Susana
authors: S
authors: Morales
authors: Departamento de Psiquiatría, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
authors: Orietta
authors: O
authors: Echávarri
authors: Centro de Modelamiento Matemático, Departamento de Matemáticas, Escuela de Ingeniería y Ciencias, Facultad de Ciencias Físicas y Matemáticas, Universidad de Chile, Santiago, Chile.
authors: Arnol
authors: A
authors: García
authors: Centro de Modelamiento Matemático, Departamento de Matemáticas, Escuela de Ingeniería y Ciencias, Facultad de Ciencias Físicas y Matemáticas, Universidad de Chile, Santiago, Chile.
authors: Jaime
authors: J
authors: Ortega
authors: Centro de Modelamiento Matemático, Departamento de Matemáticas, Escuela de Ingeniería y Ciencias, Facultad de Ciencias Físicas y Matemáticas, Universidad de Chile, Santiago, Chile.
authors: Takeshi
authors: T
authors: Asahi
authors: Facultad de Enfermería, Universidad San Sebastián, Santiago de Chile.
authors: Claudia
authors: C
authors: Moya
authors: Servicio de Neurología y Psiquiatría, Hospital Dr. Luis Calvo Mackenna, Santiago, Chile.
authors: Ronit
authors: R
authors: Fischman
authors: Departamento de Psiquiatría, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
authors: María P
authors: MP
authors: Maino
authors: Private practice.
authors: Catalina
authors: C
authors: Núñez
mesh_terms: D000293:Adolescent; D000328:Adult; D002677:Chile; D005260:Female; D006801:Humans; D008297:Male; D001523:Mental Disorders / Q000150:complications / Q000523:psychology*; D008875:Middle Aged; D008962:Models, Theoretical; D012307:Risk Factors; D012680:Sensitivity and Specificity; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires; D055815:Young Adult; D000092864:Suicide Prevention