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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
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Materias: | |
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 |
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