Network analysis of chronological relationships of comorbidities in veterans from a prospective screening colonoscopy trial. - Julian C. Hong; Elizabeth Hauser; Thomas S. Redding; Kellie Sims; Ziad Gellad; Meghan O'Leary; Terry Hyslop; Ashton Madison; Xuejun Qin; David Weiss; A. J. Bullard; Reana Thomas; et al. (AMIA, 2018)

Natural language processing to identify patient symptoms during and prior to cancer therapy. - Julian C. Hong; Donna Niedzwiecki; Manisha Palta; Jessica D. Tenenbaum (AMIA, 2018)

Machine Learning Implementation Results in Reduced Variable Cost of Acute Care Visits During Radiotherapy: SHIELD-RT Cost Analysis. - Divya Natesan; Samantha Thomas; Eric Eisenstein; Neville C. W. Eclov; Nicole Dalal; Sarah J. Stephens; Mary Malicki; Stacey Shields; Alyssa Cobb; Yvonne M. Mowery; Donna Niedzwiecki; Jessica D. Tenenbaum; et al. (AMIA, 2021)

Longitudinal Data of Cancer Patients with Prior Mental Health Diagnoses Show Differences in Demographics, Emergency Visits, and Suicidality Rates. - Saira Somnay; William Chen; Lauren Boreta; Steve Braunstein; Julian C. Hong (AMIA, 2021)

Implementation of machine learning in the clinic: challenges and lessons in prospective deployment from the System for High Intensity EvaLuation During Radiation Therapy (SHIELD-RT) randomized controlled study. - Julian C. Hong; Neville C. W. Eclov; Sarah J. Stephens; Yvonne M. Mowery; Manisha Palta (BMC Bioinform., 2022)

"Who experiences large model decay and why?" A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift. - Harvineet Singh; Fan Xia; Alexej Gossmann; Andrew Chuang; Julian C. Hong; Jean Feng (CoRR, 2025)