Using natural language processing to identify problem usage of prescription opioids. - David S. Carrell; David J. Cronkite; Roy E. Palmer; Kathleen Saunders; David E. Gross; Elizabeth T. Masters; Timothy R. Hylan; Michael Von Korff (Int. J. Medical Informatics, 2015)

Addressing physical activity barriers among prostate cancer survivors through a peer-based digital walking program. - Regina Casanova-Perez; Harsh V. Patel; Savitha Sangameswaran; David J. Cronkite; Courtney Segal; Dori E. Rosenberg; John L. Gore; Jonathan Wright; Andrea L. Hartzler (AMIA, 2019)

The machine giveth and the machine taketh away: a parrot attack on clinical text deidentified with hiding in plain sight. - David S. Carrell; David J. Cronkite; Muqun (Rachel) Li; Steve Nyemba; Bradley A. Malin; John S. Aberdeen; Lynette Hirschman (J. Am. Medical Informatics Assoc., 2019)

Resilience of clinical text de-identified with "hiding in plain sight" to hostile reidentification attacks by human readers. - David S. Carrell; Bradley A. Malin; David J. Cronkite; John S. Aberdeen; Cheryl Clark; Muqun (Rachel) Li; Dikshya Bastakoty; Steve Nyemba; Lynette Hirschman (J. Am. Medical Informatics Assoc., 2020)

Evaluation of the Portability of Natural Language Processing-based Computable Phenotypes in the eMERGE Network. - Jennifer A. Pacheco; Luke V. Rasmussen; Ken Wiley; Thomas N. Person; David J. Cronkite; Sunghwan Sohn; Shawn N. Murphy; Justin H. Gundelach; Vivian S. Gainer; Victor M. Castro; Cong Liu 020; Todd Lingren; et al. (AMIA, 2021)

Design of digital walking programs that engage prostate cancer survivors: Needs and preferences from focus groups. - Savitha Sangameswaran; Courtney Segal; Dori E. Rosenberg; Reggie Casanova-Perez; David J. Cronkite; John L. Gore; Andrea L. Hartzler (AMIA, 2021)

Data-driven automated classification algorithms for acute health conditions: Applying PheNorm to COVID-19 disease. - Joshua C. Smith; Daniel Park; Jill Whitaker Bey; Michael F. McLemore; Elizabeth Hanchrow; Dax Westerman; Joshua Osmanski; Robert Winter 003; Arvind Ramaprasan; Ann Kelley; Mary Shea; David J. Cronkite; et al. (AMIA, 2022)

Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening. - Robert B. Penfold; David S. Carrell; David J. Cronkite; Chester Pabiniak; Tammy Dodd; Ashley M. H. Glass; Eric Johnson; Ella Thompson; H. Michael Arrighi; Paul E. Stang (BMC Medical Informatics Decis. Mak., 2022)

"You Can See the Connections": Facilitating Visualization of Care Priorities in People Living with Multiple Chronic Health Conditions. - Hyeyoung Ryu; Andrew B. L. Berry; Catherine Y. Lim; Andrea L. Hartzler; Tad Hirsch; Juanita I Trejo; Zoë Abigail Bermet; Brandi Crawford-Gallagher; Vi Tran; Dawn M. Ferguson; David J. Cronkite; Brooks Tiffany; et al. (CHI, 2023)

Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease. - Joshua C. Smith; Brian D. Williamson; David J. Cronkite; Daniel Park; Jill M. Whitaker; Michael F. McLemore; Joshua Osmanski; Robert Winter 003; Arvind Ramaprasan; Ann Kelley; Mary Shea; Saranrat Wittayanukorn; et al. (J. Am. Medical Informatics Assoc., 2024)