Simulation of suicide tendency by using machine learning

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

Research output: Contribution to conferencePaper

4 Scopus citations

Abstract

© 2017 IEEE. 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.
Original languageAmerican English
Pages1-6
Number of pages6
DOIs
StatePublished - 5 Jul 2018
Externally publishedYes
EventProceedings - International Conference of the Chilean Computer Science Society, SCCC -
Duration: 5 Jul 2018 → …

Conference

ConferenceProceedings - International Conference of the Chilean Computer Science Society, SCCC
Period5/07/18 → …

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    Calderon-Vilca, H. D., Wun-Rafael, W. I., & Miranda-Loarte, R. (2018). Simulation of suicide tendency by using machine learning. 1-6. Paper presented at Proceedings - International Conference of the Chilean Computer Science Society, SCCC, . https://doi.org/10.1109/SCCC.2017.8405128