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Federated Learning-Based Model for Predicting Mortality: Systematic Review and Meta-Analysis
J Med Internet Res 2025;27:e65708
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Numerous Korean studies, including those by Park et al [11], Song [12], Seo and Song [13], and Kim et al [14] have shown that SNS-based expressions—such as statements of hopelessness, isolation, or suicidal ideation—can be systematically analyzed to identify users at risk of depression. These findings suggest that digital expressions are not only reflections of individual distress but also potential signals for early detection.
J Med Internet Res 2025;27:e70689
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Hand Motion Control Ability Between Young and Older Adults: Comparative Study
JMIR Form Res 2025;9:e65224
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The institutional review board of Chung-Ang University (number 1041078‐20240611-HR-144) approved the study protocol.
We identified 75,122 records through a comprehensive search strategy, as presented in the PRISMA 2020 flowchart (Figure 1). After removing 30,547 duplicate records, 44,575 records remained for screening. Of these, 16 were excluded as they had been retracted due to issues such as ethical concerns or compromised data integrity.
J Med Internet Res 2025;27:e76215
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