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Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study

Yanjun Gao, Ruizhe Li, Emma Croxford, John Caskey, Brian W Patterson, Matthew Churpek, Timothy Miller, Dmitriy Dligach, Majid Afshar

JMIR AI 2025;4:e58670

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“Crying in the Wilderness”—The Use of Web-Based Support in Telomere Biology Disorders: Thematic Analysis

Emily Eidenier Pearce, Alina Majid, Toniya Brown, Rowan Forbes Shepherd, Camella Rising, Catherine Wilsnack, Ashley S Thompson, Melissa B Gilkey, Kurt M Ribisl, Allison J Lazard, Paul KJ Han, Allison Werner-Lin, Sadie P Hutson, Sharon A Savage

JMIR Form Res 2024;8:e64343

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Novel Machine Learning HIV Intervention for Sexual and Gender Minority Young People Who Have Sex With Men (uTECH): Protocol for a Randomized Comparison Trial

Ian W Holloway, Elizabeth S C Wu, Callisto Boka, Nina Young, Chenglin Hong, Kimberly Fuentes, Kimmo Kärkkäinen, Mehrab Beikzadeh, Alexandra Avendaño, Juan C Jauregui, Aileen Zhang, Lalaine Sevillano, Colin Fyfe, Cal D Brisbin, Raiza M Beltran, Luisita Cordero, Jeffrey T Parsons, Majid Sarrafzadeh

JMIR Res Protoc 2024;13:e58448

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Deployment of Real-time Natural Language Processing and Deep Learning Clinical Decision Support in the Electronic Health Record: Pipeline Implementation for an Opioid Misuse Screener in Hospitalized Adults

Majid Afshar, Sabrina Adelaine, Felice Resnik, Marlon P Mundt, John Long, Margaret Leaf, Theodore Ampian, Graham J Wills, Benjamin Schnapp, Michael Chao, Randy Brown, Cara Joyce, Brihat Sharma, Dmitriy Dligach, Elizabeth S Burnside, Jane Mahoney, Matthew M Churpek, Brian W Patterson, Frank Liao

JMIR Med Inform 2023;11:e44977

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The Evaluation of a Clinical Decision Support Tool Using Natural Language Processing to Screen Hospitalized Adults for Unhealthy Substance Use: Protocol for a Quasi-Experimental Design

Cara Joyce, Talar W Markossian, Jenna Nikolaides, Elisabeth Ramsey, Hale M Thompson, Juan C Rojas, Brihat Sharma, Dmitriy Dligach, Madeline K Oguss, Richard S Cooper, Majid Afshar

JMIR Res Protoc 2022;11(12):e42971

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Machine Learning Techniques to Explore Clinical Presentations of COVID-19 Severity and to Test the Association With Unhealthy Opioid Use: Retrospective Cross-sectional Cohort Study

Hale M Thompson, Brihat Sharma, Dale L Smith, Sameer Bhalla, Ihuoma Erondu, Aniruddha Hazra, Yousaf Ilyas, Paul Pachwicewicz, Neeral K Sheth, Neeraj Chhabra, Niranjan S Karnik, Majid Afshar

JMIR Public Health Surveill 2022;8(12):e38158

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Personalized Energy Expenditure Estimation: Visual Sensing Approach With Deep Learning

Toby Perrett, Alessandro Masullo, Dima Damen, Tilo Burghardt, Ian Craddock, Majid Mirmehdi

JMIR Form Res 2022;6(9):e33606

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Physical Activity Behavior of Patients at a Skilled Nursing Facility: Longitudinal Cohort Study

Ramin Ramezani, Wenhao Zhang, Pamela Roberts, John Shen, David Elashoff, Zhuoer Xie, Annette Stanton, Michelle Eslami, Neil S Wenger, Jacqueline Trent, Antonia Petruse, Amelia Weldon, Andy Ascencio, Majid Sarrafzadeh, Arash Naeim

JMIR Mhealth Uhealth 2022;10(5):e23887

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Data Visualization for Chronic Neurological and Mental Health Condition Self-management: Systematic Review of User Perspectives

Ashley Polhemus, Jan Novak, Shazmin Majid, Sara Simblett, Daniel Morris, Stuart Bruce, Patrick Burke, Marissa F Dockendorf, Gergely Temesi, Til Wykes

JMIR Ment Health 2022;9(4):e25249

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Correction: Identifying COVID-19 Outbreaks From Contact-Tracing Interview Forms for Public Health Departments: Development of a Natural Language Processing Pipeline

John Caskey, Iain L McConnell, Madeline Oguss, Dmitriy Dligach, Rachel Kulikoff, Brittany Grogan, Crystal Gibson, Elizabeth Wimmer, Traci E DeSalvo, Edwin E Nyakoe-Nyasani, Matthew M Churpek, Majid Afshar

JMIR Public Health Surveill 2022;8(3):e37893

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