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Experiences of Peer Mentoring Sexual and Gender Minority Emerging Adults Who Are at Risk for Suicide: Mixed Methods Study

Jennifer T Tran, Jessica Webster, James R Wolfe, Jennifer Ben Nathan, Lindiwe Mayinja, Marin Kautz, Maria A Oquendo, Gregory K Brown, David Mandell, Danielle Mowery, José A Bauermeister, Lily A Brown

JMIR Form Res 2025;9:e67814

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Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study

Sudeshna Das, Yao Ge, Yuting Guo, Swati Rajwal, JaMor Hairston, Jeanne Powell, Drew Walker, Snigdha Peddireddy, Sahithi Lakamana, Selen Bozkurt, Matthew Reyna, Reza Sameni, Yunyu Xiao, Sangmi Kim, Rasheeta Chandler, Natalie Hernandez, Danielle Mowery, Rachel Wightman, Jennifer Love, Anthony Spadaro, Jeanmarie Perrone, Abeed Sarker

J Med Internet Res 2025;27:e66220

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Patient Phenotyping for Atopic Dermatitis With Transformers and Machine Learning: Algorithm Development and Validation Study

Andrew Wang, Rachel Fulton, Sy Hwang, David J Margolis, Danielle Mowery

JMIR Form Res 2024;8:e52200

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A Suicide Prevention Intervention for Emerging Adult Sexual and Gender Minority Groups: Protocol for a Pilot Hybrid Effectiveness Randomized Controlled Trial

Lily A Brown, Jessica L Webster, Jennifer T Tran, James R Wolfe, Jesse Golinkoff, Esha Patel, Amanda C Arcomano, Jennifer Ben Nathan, Alexander Azat O'Connor, Yiqin Zhu, Maria Oquendo, Gregory K Brown, David Mandell, Danielle Mowery, José A Bauermeister

JMIR Res Protoc 2023;12:e48177

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Identifying Medication-Related Intents From a Bidirectional Text Messaging Platform for Hypertension Management Using an Unsupervised Learning Approach: Retrospective Observational Pilot Study

Anahita Davoudi, Natalie S Lee, ThaiBinh Luong, Timothy Delaney, Elizabeth Asch, Krisda Chaiyachati, Danielle Mowery

J Med Internet Res 2022;24(6):e36151

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A Natural Language Processing–Assisted Extraction System for Gleason Scores: Development and Usability Study

Shun Yu, Anh Le, Emily Feld, Emily Schriver, Peter Gabriel, Abigail Doucette, Vivek Narayan, Michael Feldman, Lauren Schwartz, Kara Maxwell, Danielle Mowery

JMIR Cancer 2021;7(3):e27970

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Lexicon Development for COVID-19-related Concepts Using Open-source Word Embedding Sources: An Intrinsic and Extrinsic Evaluation

Soham Parikh, Anahita Davoudi, Shun Yu, Carolina Giraldo, Emily Schriver, Danielle Mowery

JMIR Med Inform 2021;9(2):e21679

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Cross Disciplinary Consultancy to Bridge Public Health Technical Needs and Analytic Developers: Negation Detection Use Case

Mike Conway, Danielle Mowery, Amy Ising, Sumithra Velupillai, Son Doan, Julia Gunn, Michael Donovan, Caleb Wiedeman, Lance Ballester, Karl Soetebier, Catherine Tong, Burkom Howard

Online J Public Health Inform 2018;10(2):e62275

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Understanding Depressive Symptoms and Psychosocial Stressors on Twitter: A Corpus-Based Study

Danielle Mowery, Hilary Smith, Tyler Cheney, Greg Stoddard, Glen Coppersmith, Craig Bryan, Mike Conway

J Med Internet Res 2017;19(2):e48

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Identifying Depression-Related Tweets from Twitter for Public Health Monitoring

Danielle Mowery, Hilary A. Smith, Tyler Cheney, Craig Bryan, Michael Conway

Online J Public Health Inform 2016;8(1):e61860

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