A Feasibility Study Using a Machine Learning Suicide Risk Prediction Model Based on Open-Ended Interview Language in Adolescent Therapy Sessions

Background: As adolescent suicide rates continue to rise, innovation in risk identification is warranted. Machine learning can identify suicidal individuals based on their language samples. This feasibility pilot was conducted to explore this technology’s use in adolescent therapy sessions and asses...

Descripción completa

Detalles Bibliográficos
Autores principales: Cohen, Joshua, Wright-Berryman, Jennifer, Rohlfs, Lesley, Wright, Donald, Campbell, Marci, Gingrich, Debbie, Santel, Daniel, Pestian, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663991/
https://www.ncbi.nlm.nih.gov/pubmed/33167554
http://dx.doi.org/10.3390/ijerph17218187

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663991/
https://www.ncbi.nlm.nih.gov/pubmed/33167554
http://dx.doi.org/10.3390/ijerph17218187

Ejemplares similares