Comparison of Patient Portal Usage between Employees and Non-Employees. - Lina M. Sulieman; Dara Eckerle Mize; Daniel Fabbri; S. Trent Rosenbloom (AMIA, 2015)

Predicting Negative Events: Using Post-discharge Data to Detect High-Risk Patients. - Lina M. Sulieman; Daniel Fabbri; Fei Wang 001; Jianying Hu; Bradley A. Malin (AMIA, 2016)

Classifying patient portal messages using Convolutional Neural Networks. - Lina M. Sulieman; David Gilmore; Christi French; Robert M. Cronin; Gretchen Purcell Jackson; Matthew Russell; Daniel Fabbri (J. Biomed. Informatics, 2017)

Learning Clinical Data Representations for Machine Learning. - Lina M. Sulieman (2018)

Why Patient Portal Messages Indicate Risk of Readmission for Patients with Ischemic Heart Disease. - Lina M. Sulieman; Zhijun Yin; Bradley A. Malin (AMIA, 2019)

A systematic literature review of machine learning in online personal health data. - Zhijun Yin; Lina M. Sulieman; Bradley A. Malin (J. Am. Medical Informatics Assoc., 2019)

Analysis of Employee Patient Portal Use and Electronic Health Record Access at an Academic Medical Center. - Lina M. Sulieman; Bryan D. Steitz; S. Trent Rosenbloom (Appl. Clin. Inform., 2020)

Systematic replication of smoking disease associations in the All of Us Research Program. - David J. Schlueter; Lina M. Sulieman; Jacob M. Keaton; Tracey Ferrara; Kyle Webb; Ariel Williams; Francis Ratsimbazafy; Jun Qian; Lisa Bastarache; Andrea H. Ramirez; Joshua C. Denny (AMIA, 2021)

Measuring the correctness of All of Us physical measurement. - Lina Sulieman; Karthik Natarajan; Qingxia Chen; Robert J. Carroll; Kayla Marginean; Paul A. Harris; Andrea H. Ramirez (AMIA, 2021)

Comparison of family health history in surveys vs electronic health record data mapped to the observational medical outcomes partnership data model in the All of Us Research Program. - Robert M. Cronin; Alese E. Halvorson; Cassie Springer; Xiaoke Feng; Lina M. Sulieman; Roxana Loperena-Cortes; Kelsey R. Mayo; Robert J. Carroll; Qingxia Chen; Brian K. Ahmedani; Jason Karnes; Bruce Korf; et al. (J. Am. Medical Informatics Assoc., 2021)

Identifying Erroneous Height and Weight Values from Adult Electronic Health Records. - Andrew Guide; Lina Sulieman; Qingxia Chen (AMIA, 2022)

Self-paced Training Modality to Promote the Use of All of Us Researcher Workbench in Educational and Research Settings. - Hiral Master; Lina Sulieman; Paul A. Harris; Karthik Natarajan; Robert J. Carroll; Kayla Marginean; Kelsey R. Mayo; Aymone Kouame; Michael Lyons (AMIA, 2022)

Primum non Nocere: Challenges and Strategies for Protecting Privacy for Adolescent Patients in the 21st Century Cures Act Setting. - Marianne Sharko; S. Trent Rosenbloom; Lina Sulieman; Christoph Lehmann; Jessica S. Ancker (AMIA, 2022)

Predicting the Retention of Subsequent Surveys in the All of Us. - Lina Sulieman; Xiaoke Feng; Qingxia Chen; Robert M. Cronin (AMIA, 2022)

Assessing Data Quality and Diversity in the All of Us. - Lina Sulieman; Jennifer Zhang; Kayla Marginean; Paul A. Harris; Robert J. Carroll (AMIA, 2022)

Comparing medical history data derived from electronic health records and survey answers in the All of Us Research Program. - Lina M. Sulieman; Robert M. Cronin; Robert J. Carroll; Karthik Natarajan; Kayla Marginean; Brandy Mapes; Dan M. Roden; Paul A. Harris; Andrea H. Ramirez (J. Am. Medical Informatics Assoc., 2022)

The All of Us Research Program: Data quality, utility, and diversity. - Andrea H. Ramirez; Lina M. Sulieman; David J. Schlueter; Alese E. Halvorson; Jun Qian; Francis Ratsimbazafy; Roxana Loperena-Cortes; Kelsey R. Mayo; Melissa A. Basford; Nicole Deflaux; Karthik Muthuraman; Karthik Natarajan; et al. (Patterns, 2022)

Systematic replication of smoking disease associations using survey responses and EHR data in the All of Us Research Program. - David J. Schlueter; Lina M. Sulieman; Huan Mo; Jacob M. Keaton; Tracey M. Ferrara; Ariel Williams; Jun Qian; Onajia J. Stubblefield; Chenjie Zeng; Tam C. Tran; Lisa Bastarache; Jian Dai; et al. (J. Am. Medical Informatics Assoc., 2023)

Balancing efficacy and computational burden: weighted mean, multiple imputation, and inverse probability weighting methods for item non-response in reliable scales. - Andrew Guide; Shawn Garbett; Xiaoke Feng; Brandy Mapes; Justin Cook; Lina Sulieman; Robert M. Cronin; Qingxia Chen (J. Am. Medical Informatics Assoc., 2024)

Illuminating the landscape of high-level clinical trial opportunities in the All of Us Research Program. - Cathy Shyr; Lina Sulieman; Paul A. Harris (J. Am. Medical Informatics Assoc., 2024)

Identifying erroneous height and weight values from adult electronic health records in the All of Us research program. - Andrew Guide; Lina Sulieman; Shawn Garbett; Robert M. Cronin; Matthew E. Spotnitz; Karthik Natarajan; Robert J. Carroll; Paul A. Harris; Qingxia Chen (J. Biomed. Informatics, 2024)

Computational strategic recruitment for representation and coverage studied in the All of Us Research Program. - Victor A. Borza; Qingxia Chen; Ellen Wright Clayton; Murat Kantarcioglu; Lina Sulieman; Yevgeniy Vorobeychik; Bradley A. Malin (npj Digit. Medicine, 2025)