Acoustic Analysis of Speech for Screening for Suicide Risk: Machine Learning Classifiers for Between- and Within-Person Evaluation of Suicidality

BACKGROUND: Assessing a patient’s suicide risk is challenging for health professionals because it depends on voluntary disclosure by the patient and often has limited resources. The application of novel machine learning approaches to determine suicide risk has clinical utility. OBJECTIVE: This study...

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Detalles Bibliográficos
Autores principales: Min, Sooyeon, Shin, Daun, Rhee, Sang Jin, Park, C Hyung Keun, Yang, Jeong Hun, Song, Yoojin, Kim, Min Ji, Kim, Kyungdo, Cho, Won Ik, Kwon, Oh Chul, Ahn, Yong Min, Lee, Hyunju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131783/
https://www.ncbi.nlm.nih.gov/pubmed/36951913
http://dx.doi.org/10.2196/45456

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131783/
https://www.ncbi.nlm.nih.gov/pubmed/36951913
http://dx.doi.org/10.2196/45456

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