Diagnostic accuracy of traditional and deep learning methods for detecting depression based on speech features: a systematic review and meta-analysis

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Journal
BMC Psychiatry
Published
2025-11-24
DOI
https://doi.org/10.1186/s12888-025-07628-z
Primary Topic
Mental Health via Writing
Type
article
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Diagnostic accuracy of traditional and deep learning methods for detecting depression based on speech features: a systematic review and meta-analysis

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Diagnostic accuracy of traditional and deep learning methods for detecting depression based on speech features: a systematic review and meta-analysis

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Abstract

No abstract available for this paper.
BMC PsychiatryVol. 25(1)
University of Electronic Science and Technology of China (CN), Chengdu University of Traditional Chinese Medicine (CN)
Openalex Percentile: Top 59%
Mental Health via Writing
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