Simulation of suicide tendency by using machine learning

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

doi:10.1109/SCCC.2017.8405128

Simulation of suicide tendency by using machine learning

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

14 Scopus citations

Abstract

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 language	English
Title of host publication	2017 36th International Conference of the Chilean Computer Science Society, SCCC 2017
Publisher	IEEE Computer Society
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781538634837
DOIs	https://doi.org/10.1109/SCCC.2017.8405128
State	Published - 5 Jul 2018
Event	36th International Conference of the Chilean Computer Science Society, SCCC 2017 - Arica, Chile Duration: 16 Oct 2017 → 20 Oct 2017

Publication series

Name	Proceedings - International Conference of the Chilean Computer Science Society, SCCC
Volume	2017-October
ISSN (Print)	1522-4902

Conference

Conference	36th International Conference of the Chilean Computer Science Society, SCCC 2017
Country/Territory	Chile
City	Arica
Period	16/10/17 → 20/10/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

Suicide tendency
classification
machine learning
prevention
suicide
suicide attempt
suicide risk

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10.1109/SCCC.2017.8405128

Cite this

Calderon-Vilca, H. D., Wun-Rafael, W. I., & Miranda-Loarte, R. (2018). Simulation of suicide tendency by using machine learning. In 2017 36th International Conference of the Chilean Computer Science Society, SCCC 2017 (pp. 1-6). (Proceedings - International Conference of the Chilean Computer Science Society, SCCC; Vol. 2017-October). IEEE Computer Society. https://doi.org/10.1109/SCCC.2017.8405128

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Calderon-Vilca, HD, Wun-Rafael, WI & Miranda-Loarte, R 2018, Simulation of suicide tendency by using machine learning. in 2017 36th International Conference of the Chilean Computer Science Society, SCCC 2017. Proceedings - International Conference of the Chilean Computer Science Society, SCCC, vol. 2017-October, IEEE Computer Society, pp. 1-6, 36th International Conference of the Chilean Computer Science Society, SCCC 2017, Arica, Chile, 16/10/17. https://doi.org/10.1109/SCCC.2017.8405128

Simulation of suicide tendency by using machine learning. / Calderon-Vilca, Hugo D.; Wun-Rafael, William I.; Miranda-Loarte, Roberto.
2017 36th International Conference of the Chilean Computer Science Society, SCCC 2017. IEEE Computer Society, 2018. p. 1-6 (Proceedings - International Conference of the Chilean Computer Science Society, SCCC; Vol. 2017-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Simulation of suicide tendency by using machine learning

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Keywords

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