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Lina M. Sulieman
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2020 – today
- 2024
- [j10]Andrew Guide, Shawn Garbett, Xiaoke Feng, Brandy Mapes, Justin Cook, Lina Sulieman, Robert M. Cronin, Qingxia Chen:
Balancing efficacy and computational burden: weighted mean, multiple imputation, and inverse probability weighting methods for item non-response in reliable scales. J. Am. Medical Informatics Assoc. 31(12): 2869-2879 (2024) - [j9]Cathy Shyr, Lina Sulieman, Paul A. Harris:
Illuminating the landscape of high-level clinical trial opportunities in the All of Us Research Program. J. Am. Medical Informatics Assoc. 31(12): 2890-2898 (2024) - [j8]Andrew Guide, Lina Sulieman, Shawn Garbett, Robert M. Cronin, Matthew E. Spotnitz, Karthik Natarajan, Robert J. Carroll, Paul A. Harris, Qingxia Chen:
Identifying erroneous height and weight values from adult electronic health records in the All of Us research program. J. Biomed. Informatics 155: 104660 (2024) - 2023
- [j7]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, Anav Babbar, Andrea H. Ramirez, Slavina Goleva, Joshua C. Denny:
Systematic replication of smoking disease associations using survey responses and EHR data in the All of Us Research Program. J. Am. Medical Informatics Assoc. 31(1): 139-153 (2023) - 2022
- [j6]Lina M. Sulieman, Robert M. Cronin, Robert J. Carroll, Karthik Natarajan, Kayla Marginean, Brandy Mapes, Dan M. Roden, Paul A. Harris, Andrea H. Ramirez:
Comparing medical history data derived from electronic health records and survey answers in the All of Us Research Program. J. Am. Medical Informatics Assoc. 29(7): 1131-1141 (2022) - [j5]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, Abel N. Kho, Hua Xu, Consuelo H. Wilkins, Hoda Anton-Culver, Eric Boerwinkle, Mine Cicek, Cheryl R. Clark, Elizabeth Cohn, Lucila Ohno-Machado, Sheri D. Schully, Brian K. Ahmedani, Maria Argos, Robert M. Cronin, Christopher J. O'Donnell, Mona Fouad, David B. Goldstein, Philip Greenland, Scott J. Hebbring, Elizabeth W. Karlson, Parinda Khatri, Bruce Korf, Jordan W. Smoller, Stephen Sodeke, John Wilbanks, Justin Hentges, Stephen Mockrin, Christopher Lunt, Stephanie A. Devaney, Kelly Gebo, Joshua C. Denny, Robert J. Carroll, David Glazer, Paul A. Harris, George Hripcsak, Anthony A. Philippakis, Dan M. Roden:
The All of Us Research Program: Data quality, utility, and diversity. Patterns 3(8): 100570 (2022) - [c10]Andrew Guide, Lina Sulieman, Qingxia Chen:
Identifying Erroneous Height and Weight Values from Adult Electronic Health Records. AMIA 2022 - [c9]Hiral Master, Lina Sulieman, Paul A. Harris, Karthik Natarajan, Robert J. Carroll, Kayla Marginean, Kelsey R. Mayo, Aymone Kouame, Michael Lyons:
Self-paced Training Modality to Promote the Use of All of Us Researcher Workbench in Educational and Research Settings. AMIA 2022 - [c8]Marianne Sharko, S. Trent Rosenbloom, Lina Sulieman, Christoph Lehmann, Jessica S. Ancker:
Primum non Nocere: Challenges and Strategies for Protecting Privacy for Adolescent Patients in the 21st Century Cures Act Setting. AMIA 2022 - [c7]Lina Sulieman, Xiaoke Feng, Qingxia Chen, Robert M. Cronin:
Predicting the Retention of Subsequent Surveys in the All of Us. AMIA 2022 - [c6]Lina Sulieman, Jennifer Zhang, Kayla Marginean, Paul A. Harris, Robert J. Carroll:
Assessing Data Quality and Diversity in the All of Us. AMIA 2022 - 2021
- [j4]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, Christopher J. O'Donnell, Jun Qian, Andrea H. Ramirez:
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. J. Am. Medical Informatics Assoc. 28(4): 695-703 (2021) - [c5]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:
Systematic replication of smoking disease associations in the All of Us Research Program. AMIA 2021 - [c4]Lina Sulieman, Karthik Natarajan, Qingxia Chen, Robert J. Carroll, Kayla Marginean, Paul A. Harris, Andrea H. Ramirez:
Measuring the correctness of All of Us physical measurement. AMIA 2021 - 2020
- [j3]Lina M. Sulieman, Bryan D. Steitz, S. Trent Rosenbloom:
Analysis of Employee Patient Portal Use and Electronic Health Record Access at an Academic Medical Center. Appl. Clin. Inform. 11(03): 433-441 (2020)
2010 – 2019
- 2019
- [j2]Zhijun Yin, Lina M. Sulieman, Bradley A. Malin:
A systematic literature review of machine learning in online personal health data. J. Am. Medical Informatics Assoc. 26(6): 561-576 (2019) - [c3]Lina M. Sulieman, Zhijun Yin, Bradley A. Malin:
Why Patient Portal Messages Indicate Risk of Readmission for Patients with Ischemic Heart Disease. AMIA 2019 - 2018
- [b1]Lina M. Sulieman:
Learning Clinical Data Representations for Machine Learning. Vanderbilt University, Nashville, Tennessee, USA, 2018 - 2017
- [j1]Lina M. Sulieman, David Gilmore, Christi French, Robert M. Cronin, Gretchen Purcell Jackson, Matthew Russell, Daniel Fabbri:
Classifying patient portal messages using Convolutional Neural Networks. J. Biomed. Informatics 74: 59-70 (2017) - 2016
- [c2]Lina M. Sulieman, Daniel Fabbri, Fei Wang, Jianying Hu, Bradley A. Malin:
Predicting Negative Events: Using Post-discharge Data to Detect High-Risk Patients. AMIA 2016 - 2015
- [c1]Lina M. Sulieman, Dara Eckerle Mize, Daniel Fabbri, S. Trent Rosenbloom:
Comparison of Patient Portal Usage between Employees and Non-Employees. AMIA 2015
Coauthor Index
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