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Discrepancies were discussed with a third reviewer (LA). To identify potentially missed papers, the reference lists of the included papers were checked.
Inclusion criteria:
Population: Adults (aged 18 years or older); nonclinical population or at risk for mental issues (up to subclinical symptoms).
JMIR Ment Health 2025;12:e72458
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Guidelines for Rapport-Building in Telehealth Videoconferencing: Interprofessional e-Delphi Study
JMIR Med Educ 2025;11:e76260
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Students’ Perceptions of Learning Analytics for Mental Health Support: Qualitative Study
LA: learning analytics.
At the beginning of the interview, all participants were generally unaware of learning analytics. While they were confident that their university had collected their data, such as their grades and feedback, most participants were unsure how these data were used.
JMIR Form Res 2025;9:e70327
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The dataset we built in this work, called D3 TEC (TEC de Monterrey’s Depression Detection Dataset), stands out for providing 2 new types of data previously unavailable in voice depression classification: Spanish recordings and simultaneous recordings using both professional and smartphone microphones. Moreover, audio quality standards are higher than most publicly available voice depression datasets.
JMIR Res Protoc 2025;14:e60439
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Reference 10: Su salud a la mano (your health at hand): patient perceptions about a bilingual patient
JMIR Form Res 2025;9:e66717
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