Acoustic Features for Identifying Suicide Risk in Crisis Hotline Callers: Machine Learning Approach

Acoustic Features for Identifying Suicide Risk in Crisis Hotline Callers: Machine Learning Approach

BackgroundCrisis hotlines serve as a crucial avenue for the early identification of suicide risk, which is of paramount importance for suicide prevention and intervention. However, assessing the risk of callers in the crisis hotline context is constrained by factors such as l...

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Bibliographic Details
Main Authors: Zhengyuan Su, Huadong Jiang, Ying Yang, Xiangqing Hou, Yanli Su, Li Yang
Format: Article
Language:English
Published: JMIR Publications 2025-04-01
Series:Journal of Medical Internet Research
Online Access:https://www.jmir.org/2025/1/e67772
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