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Linying Zhang
Linying Zhang
Assistant Professor of Biostatistics, Washington University in St. Louis
Dirección de correo verificada de wustl.edu - Página principal
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Evaluating reinforcement learning algorithms in observational health settings
O Gottesman, F Johansson, J Meier, J Dent, D Lee, S Srinivasan, L Zhang, ...
arXiv preprint arXiv:1805.12298, 2018
1192018
Predicting pressure injury using nursing assessment phenotypes and machine learning methods
W Song, MJ Kang, L Zhang, W Jung, J Song, DW Bates, PC Dykes
Journal of the American Medical Informatics Association 28 (4), 759-765, 2021
332021
A scoping review of clinical decision support tools that generate new knowledge to support decision making in real time
A Ostropolets, L Zhang, G Hripcsak
Journal of the American Medical Informatics Association 27 (12), 1968-1976, 2020
242020
The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records
L Zhang, Y Wang, A Ostropolets, JJ Mulgrave, DM Blei, G Hripcsak
Machine Learning for Healthcare Conference, 490-512, 2019
212019
Adjusting for indirectly measured confounding using large-scale propensity score
L Zhang, Y Wang, MJ Schuemie, DM Blei, G Hripcsak
Journal of Biomedical Informatics, 104204, 2022
172022
Characterizing physicians’ information needs related to a gap in knowledge unmet by current evidence
A Ostropolets, RJ Chen, L Zhang, G Hripcsak
JAMIA open 3 (2), 281-289, 2020
122020
Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study
A Ostropolets, Y Albogami, M Conover, JM Banda, WA Baumgartner Jr, ...
Journal of the American Medical Informatics Association 30 (5), 859-868, 2023
72023
Predicting hospitalization of COVID-19 positive patients using clinician-guided machine learning methods
W Song, L Zhang, L Liu, M Sainlaire, M Karvar, MJ Kang, A Pullman, ...
Journal of the American Medical Informatics Association 29 (10), 1661-1667, 2022
72022
Data assimilation on mechanistic models of glucose metabolism predicts glycemic states in adolescents following bariatric surgery
LR Richter, BI Albert, L Zhang, A Ostropolets, JL Zitsman, I Fennoy, ...
Frontiers in Physiology 13, 923704, 2022
12022
Evaluation of Large-scale Propensity Score Modeling and Covariate Balance on Potential Unmeasured Confounding in Observational Research.
R Chen, MJ Schuemie, MA Suchard, A Ostropolets, L Zhang, PB Ryan, ...
American Medical Informatics Association Annual Symposium, 2020
12020
The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records (EHRs)
L Zhang, Y Wang, A Ostropolets, JJ Mulgrave, DM Blei, G Hripcsak
Proceedings of Machine Learning Research 1, 22, 2019
12019
Similar risk of kidney failure among patients with blinding diseases who receive ranibizumab, aflibercept, and bevacizumab: an OHDSI Network Study
CX Cai, A Nishimura, MG Bowring, E Westlund, D Tran, JH Ng, P Nagy, ...
Ophthalmology Retina, 2024
2024
CEHR-GPT: Generating Electronic Health Records with Chronological Patient Timelines
C Pang, X Jiang, NP Pavinkurve, KS Kalluri, EL Minto, J Patterson, ...
arXiv preprint arXiv:2402.04400, 2024
2024
Improved accuracy and efficiency of primary care fall risk screening of older adults using a machine learning approach
W Song, NK Latham, L Liu, HE Rice, M Sainlaire, L Min, L Zhang, T Thai, ...
Journal of the American Geriatrics Society, 2024
2024
Evaluating and Improving the Performance and Racial Fairness of Algorithms for GFR Estimation
L Zhang, LR Richter, T Kim, G Hripcsak
medRxiv, 2024.01. 07.24300943, 2024
2024
Estimating the comparative risk of kidney failure associated with intravitreal anti-vascular endothelial growth factor (anti-VEGF) exposure in patients with blinding diseases
CX Cai, MG Bowring, D Tran, P Nagy, M Cook, A Nishimura, J Ng, ...
OHDSI Global Symposium, 2023
2023
Evaluating confounding adjustment when sample size is small
M Schuemie, MA Suchard, A Nishimura, L Zhang, G Hripcsak
OHDSI Global Symposium, 2023
2023
Causal Fairness Assessment of Treatment Allocation with Electronic Health Records
L Zhang, LR Richter, Y Wang, A Ostropolets, N Elhadad, DM Blei, ...
arXiv preprint arXiv:2211.11183, 2022
2022
Assessing Racial Fairness of Dialysis Allocation in End-Stage Renal Disease
GH Linying Zhang, Lauren R. Richter, Yixin Wang, Anna Ostropolets, Noemie ...
Observational Health Data Sciences and Informatics Symposium, 2022
2022
Assessing the Impact of Race on Glomerular Filtration Rate (GFR) Prediction
L Zhang, LR Richter, G Hripcsak
medRxiv, 2021.10. 26.21265423, 2021
2021
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