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In a review by Iyer and Meyer [18], timing patterns of speech were able to detect high risk of suicide callers compared with their comparison group with a median accuracy of 95%. Other vocal characteristics such as power spectral density sub-bands and mel-frequency cepstral coefficients demonstrated at least 80% accuracy in differentiating groups.
JMIR Res Protoc 2024;13:e54966
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Identifying Targets for Innovation in Amazon Reviews of Bedwetting Alarms: Thematic Analysis
Interact J Med Res 2023;12:e43194
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Detection of Suicide Risk Using Vocal Characteristics: Systematic Review
JMIR Biomed Eng 2022;7(2):e42386
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