| 2020 | AMIA | Developing and Validating a Computable Phenotype for the Identification of Transgender and Gender Nonconforming Individuals and Subgroups. | Yi Guo, Xing He, Tianchen Lyu, Hansi Zhang, Yonghui Wu, Xi Yang, Zhaoyi Chen, Merry J. Markham, Franois Modave, Mengjun Xie, William R. Hogan, Christopher A. Harle, Elizabeth Shenkman, Jiang Bian |
| 2019 | AMIA | If You Build It, They Will Come: The National Patient-Centered Clinical Research Network (PCORnet): From Conception to Execution. | Thomas Carton, Maryan Zirkle, Elizabeth Shenkman, Abel N. Kho, Adrian Hernandez |
| 2018 | HealthCom | Clustering Inter-Arrival Time of Health Care Encounters for High Utilizers. | Chengliang Yang, Chris Delcher, Elizabeth Shenkman, Sanjay Ranka |
| 2017 | AMIA | Comparing and Contrasting A Priori and A Posteriori Generalizability Assessment of Clinical Trials on Type 2 Diabetes Mellitus. | Zhe He, Arturo Gonzalez-Izquierdo, Spiros C. Denaxas, Andrei Sura, Yi Guo, William R. Hogan, Elizabeth Shenkman, Jiang Bian |
| 2017 | AMIA | Implementing a Hash-based Privacy-Preserving Entity Resolution Tool in the OneFlorida Clinical Data Research Network. | Jiang Bian, Andrei Sura, Gloria P. Lipori, Yi Guo, Franois Modave, Zhe He, Elizabeth Shenkman, William R. Hogan |
| 2017 | AMIA | Identifying High Health Care Utilizers Using Post-Regression Residual Analysis of Health Expenditures from a State Medicaid Program. | Chengliang Yang, Chris Delcher, Elizabeth Shenkman, Sanjay Ranka |
| 2016 | HealthCom | Predicting 30-day all-cause readmissions from hospital inpatient discharge data. | Chengliang Yang, Chris Delcher, Elizabeth Shenkman, Sanjay Ranka |