Detection of Depression and Suicide Risk Based on Text From Clinical Interviews Using Machine Learning: Possibility of a New Objective Diagnostic Marker

BACKGROUND: Depression and suicide are critical social problems worldwide, but tools to objectively diagnose them are lacking. Therefore, this study aimed to diagnose depression through machine learning and determine whether it is possible to identify groups at high risk of suicide through words spo...

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Detalles Bibliográficos
Autores principales: Shin, Daun, Kim, Kyungdo, Lee, Seung-Bo, Lee, Changwoo, Bae, Ye Seul, Cho, Won Ik, Kim, Min Ji, Hyung Keun Park, C., Chie, Eui Kyu, Kim, Nam Soo, Ahn, Yong Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Psychiatry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170939/
https://www.ncbi.nlm.nih.gov/pubmed/35686182
http://dx.doi.org/10.3389/fpsyt.2022.801301

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170939/
https://www.ncbi.nlm.nih.gov/pubmed/35686182
http://dx.doi.org/10.3389/fpsyt.2022.801301

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