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Linying Zhang
Linying Zhang
PhD in Biomedical Informatics, Columbia University
Verified email at columbia.edu
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
812018
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
112019
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
72021
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
72020
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
42020
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, ...
AMIA, 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
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, 2022
2022
Adjusting for unobserved confounding using large-scale propensity scores
L Zhang, Y Wang, M Schuemie, D Blei, G Hripcsak
arXiv preprint arXiv:2110.12235, 2021
2021
Assessing the impact of race on glomerular filtration rate (GFR) prediction
L Zhang, LR Richter, G Hripcsak
medRxiv, 2021
2021
The Multi-Outcome Medical Deconfounder: Assessing Treatment Effect on Multiple Renal Measures.
L Zhang, Y Wang, A Ostropolets, R Chen, DM Blei, G Hripcsak
AMIA, 2020
2020
Investigating female-male differences in risk factors for myocardial infarction using OHDSI tools.
A Ostropolets, L Zhang, JJ Mulgrave, G Hripcsak
AMIA, 2019
2019
Personalized treatment for type 2 diabetes using weighted k-nearest neighbors
W Song, L Zhang, E Gill, JZ Liu, A Wright
AMIA, 2019
2019
Integrative Oncogenomic Analysis Combining Whole Genome, Transcriptome and Epigenome Identifies Altered Chromatin Accessibility Landscape in Multiple Myeloma
R Szalat, MK Samur, CJ Ott, M Lawlor, C Epstein, BJ Abraham, CY Lin, ...
Blood 130, 328, 2017
2017
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