Are false positives in suicide classification models a risk group? Evidence for “true alarms” in a population-representative longitudinal study of Norwegian adolescents

INTRODUCTION: False positives in retrospective binary suicide attempt classification models are commonly attributed to sheer classification error. However, when machine learning suicide attempt classification models are trained with a multitude of psycho-socio-environmental factors and achieve high...

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Detalles Bibliográficos
Autores principales: Haghish, E. F., Laeng, Bruno, Czajkowski, Nikolai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Psychology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10540433/
https://www.ncbi.nlm.nih.gov/pubmed/37780152
http://dx.doi.org/10.3389/fpsyg.2023.1216483

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10540433/
https://www.ncbi.nlm.nih.gov/pubmed/37780152
http://dx.doi.org/10.3389/fpsyg.2023.1216483

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