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El suicidio es considerado un problema de salud donde los adolescentes presentan mayor riesgo. Este trabajo desarrolló un método de valoración y pronóstico para el diagnóstico temprano de la ideación suicida en adolescentes escolarizados a través de técnicas multivariadas análisis de clúster y redes neuronales artificiales. Se analizaron variables relacionadas con pensamientos, planes y manifestaciones suicidas en (n=638) adolescentes. El análisis de clúster permitió identificar el 73.2% de los adolescentes con ideación suicida baja, 18.5% ideación suicida media y 8,3% con alta ideación suicida. Se diseñó una red neuronal con capacidad de clasificación correcta del 95,5%. El método propuesto tiene capacidad de discriminar y diagnosticar la ideación suicida en adolescentes escolarizados. Estos resultados buscan aportar a la construcción y desarrollo de iniciativas enfocadas a la detección temprana e intervención desde la implementación de políticas educativas y públicas para la prevención del suicidio en la adolescencia.
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Derechos de autor 2023 Efraín Javier De la hoz-Granadillo, Lizeth Reyes-Ruiz, Milgen Sanchez-Villegas