JMIR Research Protocols

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Extended Reality (XR) in Pediatric Acute and Chronic Pain: Systematic Review and Evidence Gap Map

Physical Activity and Enjoyment in Active Virtual Reality Games in Youth: Comparative Analysis of Gorilla Tag and Beat Saber

Brenden Boots, Daniel Berg, Easton Hewitt, Keith Naugle, Kelly Naugle

JMIR Serious Games 2025;13:e66593

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Considering Theory-Based Gamification in the Co-Design and Development of a Virtual Reality Cognitive Remediation Intervention for Depression (bWell-D): Mixed Methods Study

Mark Hewko, Vincent Gagnon Shaigetz, Michael S Smith, Elicia Kohlenberg, Pooria Ahmadi, Maria Elena Hernandez Hernandez, Catherine Proulx, Anne Cabral, Melanie Segado, Trisha Chakrabarty, Nusrat Choudhury

JMIR Serious Games 2025;13:e59514

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Acceptability of a Web-Based Health App (PortfolioDiet.app) to Translate a Nutrition Therapy for Cardiovascular Disease in High-Risk Adults: Mixed Methods Randomized Ancillary Pilot Study

Meaghan E Kavanagh, Laura Chiavaroli, Selina M Quibrantar, Gabrielle Viscardi, Kimberly Ramboanga, Natalie Amlin, Melanie Paquette, Sandhya Sahye-Pudaruth, Darshna Patel, Shannan M Grant, Andrea J Glenn, Sabrina Ayoub-Charette, Andreea Zurbau, Robert G Josse, Vasanti S Malik, Cyril W C Kendall, David J A Jenkins, John L Sievenpiper

JMIR Cardio 2025;9:e58124

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Correction: Patients’ Experienced Usability and Satisfaction With Digital Health Solutions in a Home Setting: Instrument Validation Study

Susan J Oudbier, Ellen M A Smets, Pythia T Nieuwkerk, David P Neal, S Azam Nurmohamed, Hans J Meij, Linda W Dusseljee-Peute

JMIR Med Inform 2025;13:e73416

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Data Parameters From Participatory Surveillance Systems in Human, Animal, and Environmental Health From Around the Globe: Descriptive Analysis

Carrie McNeil, Nomita Divi, Charles Thomas Bargeron IV, Andrea Capobianco Dondona, Kacey C Ernst, Angela S Gupta, Olukayode Fasominu, Lucy Keatts, Terra Kelly, Onicio B Leal Neto, May O Lwin, Mvuyo Makhasi, Eric Beda Mutagahywa, Diego Montecino-Latorre, Sarah Olson, Pranav S Pandit, Daniela Paolotti, Matt C Parker, Muhammad Haiman Samad, Kara Sewalk, Anita Sheldenkar, Lertrak Srikitjakarn, Channé Suy Lan, Michael Wilkes, Terdsak Yano, Mark Smolinski

JMIR Public Health Surveill 2025;11:e55356

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An Interpretable Model With Probabilistic Integrated Scoring for Mental Health Treatment Prediction: Design Study

Logistic regression is a classification model used in ML that applies a linear combination of the data X, with weights W, to discriminate between classes of the dependent variable Y. It models the probability of an outcome using a logistic (sigmoid) function: (1) Since the equation consists of a linear combination of the features transformed by a sigmoid function, each weight of the model directly corresponds to the weight of a feature in determining the output.

Anthony Kelly, Esben Kjems Jensen, Eoin Martino Grua, Kim Mathiasen, Pepijn Van de Ven

JMIR Med Inform 2025;13:e64617

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