Year |
Citation |
Score |
2023 |
Schlueter DJ, Sulieman L, Mo H, Keaton JM, Ferrara TM, Williams A, Qian J, Stubblefield O, Zeng C, Tran TC, Bastarache L, Dai J, Babbar A, Ramirez A, Goleva SB, et al. Systematic replication of smoking disease associations using survey responses and EHR data in the All of Us Research Program. Journal of the American Medical Informatics Association : Jamia. PMID 37885303 DOI: 10.1093/jamia/ocad205 |
0.616 |
|
2023 |
Mayo KR, Basford MA, Carroll RJ, Dillon M, Fullen H, Leung J, Master H, Rura S, Sulieman L, Kennedy N, Banks E, Bernick D, Gauchan A, Lichtenstein L, Mapes BM, et al. The Data and Research Center: Creating a Secure, Scalable, and Sustainable Ecosystem for Biomedical Research. Annual Review of Biomedical Data Science. 6: 443-464. PMID 37561600 DOI: 10.1146/annurev-biodatasci-122120-104825 |
0.643 |
|
2023 |
Cronin RM, Feng X, Sulieman L, Mapes B, Garbett S, Able A, Hale R, Couper MP, Sansbury H, Ahmedani BK, Chen Q. Importance of missingness in baseline variables: A case study of the All of Us Research Program. Plos One. 18: e0285848. PMID 37200348 DOI: 10.1371/journal.pone.0285848 |
0.436 |
|
2022 |
Ramirez AH, Sulieman L, Schlueter DJ, Halvorson A, Qian J, Ratsimbazafy F, Loperena R, Mayo K, Basford M, Deflaux N, Muthuraman KN, Natarajan K, Kho A, Xu H, Wilkins C, et al. The Research Program: Data quality, utility, and diversity. Patterns (New York, N.Y.). 3: 100570. PMID 36033590 DOI: 10.1016/j.patter.2022.100570 |
0.677 |
|
2022 |
Engel N, Wang H, Jiang X, Lau CY, Patterson J, Acharya N, Beaton M, Sulieman L, Pavinkurve N, Natarajan K. EHR Data Quality Assessment Tools and Issue Reporting Workflows for the 'All of Us' Research Program Clinical Data Research Network. Amia ... Annual Symposium Proceedings. Amia Symposium. 2022: 186-195. PMID 35854725 |
0.351 |
|
2022 |
Sulieman L, Cronin RM, Carroll RJ, Natarajan K, Marginean K, Mapes B, Roden D, Harris P, Ramirez A. Comparing medical history data derived from electronic health records and survey answers in the All of Us Research Program. Journal of the American Medical Informatics Association : Jamia. PMID 35396991 DOI: 10.1093/jamia/ocac046 |
0.632 |
|
2021 |
Karnes JH, Arora A, Feng J, Steiner HE, Sulieman L, Boerwinkle E, Clark C, Cicek M, Cohn E, Gebo K, Loperena-Cortes R, Ohno-Machado L, Mayo K, Mockrin S, Ramirez A, et al. Racial, ethnic, and gender differences in obesity and body fat distribution: An All of Us Research Program demonstration project. Plos One. 16: e0255583. PMID 34358277 DOI: 10.1371/journal.pone.0255583 |
0.538 |
|
2021 |
Cronin RM, Halvorson AE, Springer C, Feng X, Sulieman L, Loperena-Cortes R, Mayo K, Carroll RJ, Chen Q, Ahmedani BK, Karnes J, Korf B, O'Donnell CJ, Qian J, Ramirez AH. 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. Journal of the American Medical Informatics Association : Jamia. PMID 33404595 DOI: 10.1093/jamia/ocaa315 |
0.611 |
|
2020 |
Sulieman L, Robinson JR, Jackson GP. Automating the Classification of Complexity of Medical Decision-Making in Patient-Provider Messaging in a Patient Portal. The Journal of Surgical Research. 255: 224-232. PMID 32570124 DOI: 10.1016/J.Jss.2020.05.039 |
0.341 |
|
2020 |
Sulieman L, Steitz B, Rosenbloom ST. Analysis of Employee Patient Portal Use and Electronic Health Record Access at an Academic Medical Center. Applied Clinical Informatics. 11: 433-441. PMID 32557441 DOI: 10.1055/S-0040-1713412 |
0.381 |
|
2020 |
SULIEMAN L, RAMIREZ A. 1454-P: Identifying Maturity-Onset Diabetes of the Young in Electronic Health Records Diabetes. 69: 1454-P. DOI: 10.2337/Db20-1454-P |
0.558 |
|
2020 |
Sulieman L, He J, Carroll R, Bastarache L, Ramirez A. SAT-LB111 Improving Classification of Diabetes Etiology in Electronic Resources Using Phenotype Algorithms and Polygenic Risk Scores Journal of the Endocrine Society. 4. DOI: 10.1210/Jendso/Bvaa046.2239 |
0.581 |
|
2019 |
Sulieman L, Yin Z, Malin BA. Why Patient Portal Messages Indicate Risk of Readmission for Patients with Ischemic Heart Disease. Amia ... Annual Symposium Proceedings. Amia Symposium. 2019: 828-837. PMID 32308879 |
0.468 |
|
2019 |
Yin Z, Sulieman LM, Malin BA. A systematic literature review of machine learning in online personal health data. Journal of the American Medical Informatics Association : Jamia. PMID 30908576 DOI: 10.1093/jamia/ocz009 |
0.482 |
|
2016 |
Sulieman L, Fabbri D, Wang F, Hu J, Malin BA. Predicting Negative Events: Using Post-discharge Data to Detect High-Risk Patients. Amia ... Annual Symposium Proceedings. Amia Symposium. 2016: 1169-1178. PMID 28269914 |
0.439 |
|
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