Citation

Arilla-Andrés S, García-Martinez C, Hoyo YLD. Techno Rev. 2022; 11.

Copyright

(Copyright © 2022, Eagora Science)

DOI

10.37467/revtechno.v11.4384

PMID

unavailable

Abstract

Suicide is a devastating problem, 800,000 people end their lives each year. Suicide prevention has become a primary objective, but now no sufficient preventive actions have been found. In this sense, social networks play an important role since some individuals have begun to publish their suicidal tendencies on them. The objective of this exploratory work is to verify whether a preventive tool based on artificial intelligence that uses messages from social networks is capable of detecting the real risk of a suicide attempt in patients who come to the hospital. In addition, the social networks will be qualitatively analyzed. © GKA Ediciones, authors. Creative Commons Reconocimiento-NoComercial-SinObraDerivada.

Language: es

Keywords

Instagram; Social media; Suicide; Suicide attempt; Twitter