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Increasing COVID-19 Testing and Vaccination Uptake in the Take Care Texas Community-Based Randomized Trial: Adaptive Geospatial Analysis

Kehe Zhang, Jocelyn V Hunyadi, Marcia C de Oliveira Otto, Miryoung Lee, Zitong Zhang, Ryan Ramphul, Jose-Miguel Yamal, Ashraf Yaseen, Alanna C Morrison, Shreela Sharma, Mohammad Hossein Rahbar, Xu Zhang, Stephen Linder, Dritana Marko, Rachel White Roy, Deborah Banerjee, Esmeralda Guajardo, Michelle Crum, Belinda Reininger, Maria E Fernandez, Cici Bauer

JMIR Form Res 2025;9:e62802

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Multimodal Pain Recognition in Postoperative Patients: Machine Learning Approach

Ajan Subramanian, Rui Cao, Emad Kasaeyan Naeini, Seyed Amir Hossein Aqajari, Thomas D Hughes, Michael-David Calderon, Kai Zheng, Nikil Dutt, Pasi Liljeberg, Sanna Salanterä, Ariana M Nelson, Amir M Rahmani

JMIR Form Res 2025;9:e67969

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Population Digital Health: Continuous Health Monitoring and Profiling at Scale

Naser Hossein Motlagh, Agustin Zuniga, Ngoc Thi Nguyen, Huber Flores, Jiangtao Wang, Sasu Tarkoma, Mattia Prosperi, Sumi Helal, Petteri Nurmi

Online J Public Health Inform 2024;16:e60261

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Design and Psychometric Evaluation of Nurses’ Mobile Health Device Acceptance Scale (NMHDA-Scale): Application of the Expectation-Confirmation Theory

Narjes Mirabootalebi, Zahra Meidani, Hossein Akbari, Fatemeh Rangraz Jeddi, Zahra Tagharrobi, Walter Swoboda, Felix Holl

JMIR Hum Factors 2024;11:e55324

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Evaluating the Usability and Quality of a Clinical Mobile App for Assisting Physicians in Head Computed Tomography Scan Ordering: Mixed Methods Study

Zahra Meidani, Aydine Omidvar, Hossein Akbari, Fatemeh Asghari, Reza Khajouei, Zahra Nazemi, Ehsan Nabovati, Felix Holl

JMIR Hum Factors 2024;11:e55790

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The Ability of ChatGPT in Paraphrasing Texts and Reducing Plagiarism: A Descriptive Analysis

Soheil Hassanipour, Sandeep Nayak, Ali Bozorgi, Mohammad-Hossein Keivanlou, Tirth Dave, Abdulhadi Alotaibi, Farahnaz Joukar, Parinaz Mellatdoust, Arash Bakhshi, Dona Kuriyakose, Lakshmi D Polisetty, Mallika Chimpiri, Ehsan Amini-Salehi

JMIR Med Educ 2024;10:e53308

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The Reporting Quality of Machine Learning Studies on Pediatric Diabetes Mellitus: Systematic Review

Zsombor Zrubka, Gábor Kertész, László Gulácsi, János Czere, Áron Hölgyesi, Hossein Motahari Nezhad, Amir Mosavi, Levente Kovács, Atul J Butte, Márta Péntek

J Med Internet Res 2024;26:e47430

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A Scalable Radiomics- and Natural Language Processing–Based Machine Learning Pipeline to Distinguish Between Painful and Painless Thoracic Spinal Bone Metastases: Retrospective Algorithm Development and Validation Study

Hossein Naseri, Sonia Skamene, Marwan Tolba, Mame Daro Faye, Paul Ramia, Julia Khriguian, Marc David, John Kildea

JMIR AI 2023;2:e44779

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Digital Biomarker–Based Interventions: Systematic Review of Systematic Reviews

Hossein Motahari-Nezhad, Hana Al-Abdulkarim, Meriem Fgaier, Mohamed Mahdi Abid, Márta Péntek, László Gulácsi, Zsombor Zrubka

J Med Internet Res 2022;24(12):e41042

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Digital Biomarker–Based Studies: Scoping Review of Systematic Reviews

Hossein Motahari-Nezhad, Meriem Fgaier, Mohamed Mahdi Abid, Márta Péntek, László Gulácsi, Zsombor Zrubka

JMIR Mhealth Uhealth 2022;10(10):e35722

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