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Pharmacoepidemiology and Drug Safety|June 16, 2026
Using Natural Language Processing of Clinical Notes to Supplement Structured Electronic Health Record Data for Phenotyping Smoking and Obesity in a Healthcare SystemJie Yang, Bowen Gu, Haritha Pillai, et al.Journal of General Internal Medicine|January 8, 2020
Primary Care Opioid Taper Plans Are Associated with Sustained Opioid Dose ReductionMark D Sullivan, Denise Boudreau, Laura Ichikawa, et al.AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 21, 2022
Design of digital walking programs that engage prostate cancer survivors: Needs and preferences from focus groupsSavitha Sangameswaran, Courtney Segal, Dori E Rosenberg, et al.Journal of Pain & Palliative Care Pharmacotherapy|February 1, 2019
Natural Language Processing-Identified Problem Opioid Use and Its Associated Health Care CostsElizabeth T Masters, Arvind Ramaprasan, Jack Mardekian, et al.Journal of Pathology Informatics|July 14, 2015
Validation of natural language processing to extract breast cancer pathology procedures and resultsArika E Wieneke, Erin J A Bowles, David Cronkite, et al.International Journal of Medical Informatics|October 13, 2015
Using natural language processing to identify problem usage of prescription opioidsDavid S Carrell, David Cronkite, Roy E Palmer, et al.The Journal of Pain|February 3, 2015
Automated prediction of risk for problem opioid use in a primary care settingTimothy R Hylan, Michael Von Korff, Kathleen Saunders, et al.Pain|March 12, 2015
The prevalence of problem opioid use in patients receiving chronic opioid therapy: computer-assisted review of electronic health record clinical notesRoy E Palmer, David S Carrell, David Cronkite, et al.JCO Oncology Advances|May 1, 2026
Development and Validation of a Natural Language Processing Algorithm Using Electronic Health Record Data to Identify Breast Cancer Patients With Low Social SupportCandyce H Kroenke, Rhonda Aoki, Lauren Mammini, et al.American Journal of Obstetrics and Gynecology|April 15, 2023
Incidence, prevalence, and trends in polycystic ovary syndrome diagnosis: a United States population-based study from 2006 to 2019Onchee Yu, Jacob P Christ, Renate Schulze-Rath, et al.Pageof 2