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
| Identifer | oai:union.ndltd.org:PERUUPC/oai:repositorioacademico.upc.edu.pe:10757/624720 |
| Date | 07 1900 |
| Creators | Calderon-Vilca, Hugo D., Wun-Rafael, William I., Miranda-Loarte, Roberto |
| Contributors | pcsihcal@upc.edu.pe, pcsihcal@upc.edu.pe, pcsihcal@upc.edu.pe |
| Publisher | IEEE Computer Society |
| Source Sets | Universidad Peruana de Ciencias Aplicadas (UPC) |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/article |
| Format | application/pdf |
| Source | 1, 6 |
| Rights | info:eu-repo/semantics/restrictedAccess |
| Relation | Proceedings - International Conference of the Chilean Computer Science Society, SCCC, https://ieeexplore.ieee.org/document/8405128/ |
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