| Título: | Simulation of suicide tendency by using machine learning |
| Autores: | Calderon-Vilca, Hugo D. ; Wun-Rafael, William I. ; Miranda-Loarte, Roberto |
| Tipo de documento: | texto impreso |
| Editorial: | IEEE Computer Society, 2018-12-02T16:50:52Z |
| Dimensiones: | application/pdf |
| Nota general: |
1 6 info:eu-repo/semantics/restrictedAccess |
| Idiomas: | Inglés |
| Palabras clave: | Facultad de Ingeniería , Pregrado , Artículos científicos , Ingeniería de Sistemas y Computación |
| Resumen: |
El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. 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. Revisión por pares |
| En línea: | 978-1-5386-3483-7 |
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