Simulation of suicide tendency by using machine learning

Hugo D. Calderon-Vilca, William I. Wun-Rafael, Roberto Miranda-Loarte

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

9 Citas (Scopus)

Resumen

Suicide is one of the most distinguished causes of death on the news worldwide. There are several factors and variables that can lead a person to commit this act, for example, stress, self-esteem, depression, among others. The causes and profiles of suicide cases are not revealed in detail by the competent institutions. We propose a simulation with a systematically generated dataset; such data reflect the adolescent population with suicidal tendency in Peru. We will evaluate three algorithms of supervised machine learning as a result of the algorithm C4.5 which is based on the trees to classify in a better way the suicidal tendency of adolescents. We finally propose a desktop tool that determines the suicidal tendency level of the adolescent.

Idioma originalInglés
Título de la publicación alojada2017 36th International Conference of the Chilean Computer Science Society, SCCC 2017
EditorialIEEE Computer Society
Páginas1-6
Número de páginas6
ISBN (versión digital)9781538634837
DOI
EstadoPublicada - 5 jul. 2018
Evento36th International Conference of the Chilean Computer Science Society, SCCC 2017 - Arica, Chile
Duración: 16 oct. 201720 oct. 2017

Serie de la publicación

NombreProceedings - International Conference of the Chilean Computer Science Society, SCCC
Volumen2017-October
ISSN (versión impresa)1522-4902

Conferencia

Conferencia36th International Conference of the Chilean Computer Science Society, SCCC 2017
País/TerritorioChile
CiudadArica
Período16/10/1720/10/17

Nota bibliográfica

Publisher Copyright:
© 2017 IEEE.

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