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Associations Between Daily Symptoms and Pain Flares in Rheumatoid Arthritis: Case-Crossover mHealth Study

Associations Between Daily Symptoms and Pain Flares in Rheumatoid Arthritis: Case-Crossover mHealth Study

See full results in Tables S3 and S4 in Multimedia Appendix 1. Multivariable models across pain flare definitions. The figure shows the results of multivariable models across all definitions. Both mean (green) and i SD (orange) were included in the analysis for each of the 12 exposures. *P . .

Ting-Chen Chloe Hsu, Belay B Yimer, Pauline Whelan, Christopher J Armitage, Katie Druce, John McBeth

JMIR Mhealth Uhealth 2025;13:e64889

Detecting Conversation Topics in Recruitment Calls of African American Participants to the All of Us Research Program Using Machine Learning: Model Development and Validation Study

Detecting Conversation Topics in Recruitment Calls of African American Participants to the All of Us Research Program Using Machine Learning: Model Development and Validation Study

Let’s see what happens,” were very common in this topic. Our results also suggested that scripted introductions to the Ao URP (Topic 7) were also more likely to occur in the not enrolled group. There is an overlap between this topic and Topic 24. Both include high-scoring scripted utterances like, “Hi yes like I said this is [Name].

Priscilla Pemu, Michael Prude, Atuarra McCaslin, Elizabeth Ojemakinde, Christopher Awad, Kelechi Igwe, Anny Rodriguez, Jasmine Foriest, Muhammed Idris

JMIR Form Res 2025;9:e65320

Cognitive Remediation for Psychosis in Virtual Reality (ThinkTactic VR): Qualitative, Iterative, and User-Centered Codevelopment Study

Cognitive Remediation for Psychosis in Virtual Reality (ThinkTactic VR): Qualitative, Iterative, and User-Centered Codevelopment Study

One CE expressed that they liked this option as it allows users to learn from different approaches and see how choices affect later actions. Other CEs voiced that the multiple-choice questions could break the VR immersion. CEs also discussed the importance and need of a program that promotes the translation of skills and strategies learned in the session to daily life. One suggestion to promote translation was to design tasks reminiscent of those CEs encountered in their daily life.

Jasmin Yee, Hannah Matheson, Bryce J M Bogie, Émilie Du Perron, Alexandra Thérond, Maëlle Charest, Catheleine van Driel, Marika Goyette, Ya Ting Lei, Chelsea Noël, Kagusthan Ariaratnam, Greg Collins, Chris Gorman, Ana-Maria Cretu, Simon Tremblay, Marie-Christine Rivard, Catherine Cullwick, Crystal Morris, David G Attwood, Alexandra Baines, Angela Stewart, Stéphane Bouchard, Christopher R Bowie, Synthia Guimond

JMIR Ment Health 2025;12:e69359

Detection of Depressive Symptoms in College Students Using Multimodal Passive Sensing Data and Light Gradient Boosting Machine: Longitudinal Pilot Study

Detection of Depressive Symptoms in College Students Using Multimodal Passive Sensing Data and Light Gradient Boosting Machine: Longitudinal Pilot Study

Exploratory analyses were conducted as a bottom-up approach where all potential passive sensing features were included in the same model to see which features emerged as most predictive. The pursuit of these 3 aims combined to allow us to examine the utility of predicting depressive symptoms within a sample of college students using the Light GBM method, contributing to the knowledge base regarding ML and depression detection.

Jessica L Borelli, Yuning Wang, Frances Haofei Li, Lyric N Russo, Marta Tironi, Ken Yamashita, Elayne Zhou, Jocelyn Lai, Brenda Nguyen, Iman Azimi, Christopher Marcotullio, Sina Labbaf, Salar Jafarlou, Nikil Dutt, Amir Rahmani

JMIR Form Res 2025;9:e67964