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Linying Zhang
Linying Zhang
Assistant Professor of Biostatistics, Washington University in St. Louis
Verified email at wustl.edu - Homepage
Title
Cited by
Cited by
Year
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
1252018
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
402021
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
252020
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
222019
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
212022
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
82023
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
82022
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
22024
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
22022
Evaluating confounding adjustment when sample size is small
M Schuemie, MA Suchard, A Nishimura, L Zhang, G Hripcsak
OHDSI Global Symposium, 2023
12023
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
Assessing Covariate Balance with Small Sample Sizes
G Hripcsak, L Zhang, K Li, MA Suchard, PB Ryan, MJ Schuemie
medRxiv, 2024
2024
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
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium
H Jeong, S Jabbour, Y Yang, R Thapta, H Mozannar, WJ Han, ...
arXiv preprint arXiv:2403.01628, 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
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
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
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