Leveraging social networks to detect anomalous insider actions in collaborative environments. - You Chen 001; Steve Nyemba; Wen Zhang; Bradley A. Malin (ISI, 2011)

Learning relational policies from electronic health record access logs. - Bradley A. Malin; Steve Nyemba; John Paulett (J. Biomed. Informatics, 2011)

Auditing Medical Records Accesses via Healthcare Interaction Networks. - You Chen 001; Steve Nyemba; Bradley A. Malin (AMIA, 2012)

Specializing network analysis to detect anomalous insider actions. - You Chen 001; Steve Nyemba; Wen Zhang; Bradley A. Malin (Secur. Informatics, 2012)

Detecting Anomalous Insiders in Collaborative Information Systems. - You Chen 001; Steve Nyemba; Bradley A. Malin (IEEE Trans. Dependable Secur. Comput., 2012)

Requirements and Design for an Extensible Toolkit for Analyzing EMR Audit Logs. - Eric Duffy; Steve Nyemba; Carl A. Gunter; David M. Liebovitz; Bradley A. Malin (HealthTech, 2013)

We work with them? Healthcare workers interpretation of organizational relations mined from electronic health records. - You Chen 001; Nancy M. Lorenzi; Steve Nyemba; Jonathan S. Schildcrout; Bradley A. Malin (Int. J. Medical Informatics, 2014)

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)

Generating Electronic Health Records with Multiple Data Types and Constraints. - Chao Yan 004; Ziqi Zhang 005; Steve Nyemba; Bradley A. Malin (AMIA, 2020)

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)

Synthetic Data to Support Engineering and Demonstrations in the All of Us Research Program. - Chao Yan 004; Steve Nyemba; Kelsey R. Mayo; Ziqi Zhang 005; Francis Ratsimbazafy; Bradley A. Malin (AMIA, 2021)

CCF-CL: Forecasting the Clinical Status of a Patient Through Contrastive Learning. - Ziqi Zhang 005; Chao Yan 004; Xinmeng Zhang; Steve Nyemba; Bradley A. Malin (AMIA, 2021)

Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge. - Prithwish Chakraborty; James V. Codella; Piyush Madan; Ying Li 053; Hu Huang 004; Yoonyoung Park; Chao Yan 004; Ziqi Zhang 005; Cheng Gao; Steve Nyemba; Xu Min; Sanjib Basak; et al. (CoRR, 2021)

Distillation to Enhance the Portability of Risk Models Across Institutions with Large Patient Claims Database. - Steve Nyemba; Chao Yan 004; Ziqi Zhang 005; Amol Rajmane; Pablo Meyer 001; Prithwish Chakraborty; Bradley A. Malin (CoRR, 2022)

Forecasting the future clinical events of a patient through contrastive learning. - Ziqi Zhang 005; Chao Yan 004; Xinmeng Zhang; Steve Nyemba; Bradley A. Malin (J. Am. Medical Informatics Assoc., 2022)

Managing re-identification risks while providing access to the All of Us research program. - Weiyi Xia; Melissa A. Basford; Robert J. Carroll; Ellen Wright Clayton; Paul A. Harris; Murat Kantarcioglu; Yongtai Liu; Steve Nyemba; Yevgeniy Vorobeychik; Zhiyu Wan; Bradley A. Malin (J. Am. Medical Informatics Assoc., 2023)