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The American Journal of Gastroenterology|June 3, 2020
High-Risk Adenomas at Screening Colonoscopy Remain Predictive of Future High-Risk Adenomas Despite an Intervening Negative ColonoscopyBrian A Sullivan, Thomas S Redding, Elizabeth R Hauser, et al.
Scientific Reports|April 15, 2021
Characterizing chronological accumulation of comorbidities in healthy veterans: a computational approachJulian C Hong, Elizabeth R Hauser, Thomas S Redding, et al.
Health Services Research|August 3, 2026
Impact of VA-Purchased Community Care on Polypharmacy and Potentially Inappropriate Medication Use in Older Adult VeteransCatherine S Hwang, Eric T Roberts, Florentina E Sileanu, et al.
Pharmacoepidemiology and Drug Safety|May 19, 2026
Trajectories of Treatment Disruption for Chronic Outpatient Medications for U.S. Veterans During Drug ShortagesKatie J Suda, Xinhua Zhao, Sherrie L Aspinall, et al.
Medrxiv : the Preprint Server for Health Sciences|June 10, 2024
Machine Learning - Based Bleeding Risk Predictions in Atrial Fibrillation Patients on Direct Oral AnticoagulantsRahul Chaudhary, Mehdi Nourelahi, Floyd W Thoma, et al.
Journal of Substance Use and Addiction Treatment|August 5, 2023
Medications for opioid use disorder in rural primary care practices: Patient and provider experiencesNora C Bridges, Rachel Taber, Abigail L Foulds, et al.
Healthcare (Amsterdam, Netherlands)|June 25, 2025
Measuring prescriptions dispensed from urgent care through the VA community care benefitAlexis K Barrett, John P Cashy, John Roehm, et al.
The Lancet. Digital Health|May 27, 2022
Developing and validating a machine-learning algorithm to predict opioid overdose in Medicaid beneficiaries in two US states: a prognostic modelling studyWei-Hsuan Lo-Ciganic, Julie M Donohue, Qingnan Yang, et al.
Journal of Opioid Management|January 11, 2021
Identifying sociodemographic profiles of veterans at risk for high-dose opioid prescribing using classification and regression treesJacob S Lipkin, Joshua M Thorpe, Walid F Gellad, et al.
The American Journal of Cardiology|February 27, 2025
Machine Learning Predicts Bleeding Risk in Atrial Fibrillation Patients on Direct Oral AnticoagulantRahul Chaudhary, Mehdi Nourelahi, Floyd W Thoma, et al.
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