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Finally, using built-in functionality in the STM R package, we avoided subjective decisions on the number of topics by using a data-driven approach [20]. This approach helped eliminate human-based bias in our analysis by identifying words that appear in a document only if the document pertains to a specific topic.
JMIR Form Res 2025;9:e65320
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Assessing perceived barriers to meditation: the Determinants of Meditation Practice Inventory-Revised (DMPI-R)
JMIR Ment Health 2025;12:e71732
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Data were analyzed in the R statistical environment using JASP (Jeffrey’s Amazing Statistics Program). We summarize the reach and knowledge questions using frequencies and percentages. We calculated means to describe behavioral capability and satisfaction. Pre- and posttest scores for behavioral capability were assessed for change using paired samples t tests with Cohen d effect sizes.
JMIR Rehabil Assist Technol 2025;12:e64666
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Mean probabilistic assessments from GPT-4 in the published study correlated well with human raters (r=0.60, 95% CI 0.47-0.70) [18]. The mean of these elicited percentages from the posts about conjunctivitis correlated with both post volume and the occurrence of some known epidemics. We did not assess the ability of LLMs to assess the probability of epidemics based on content sourced from other forms of social media, such as web-based forums or blogs.
J Med Internet Res 2025;27:e65226
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