| 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 | 120 | 2018 |
| 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 | 35 | 2021 |
| 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 | 25 | 2020 |
| 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 | 21 | 2019 |
| 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 | 19 | 2022 |
| 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 | 12 | 2020 |
| 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 | 8 | 2022 |
| 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 | 7 | 2023 |
| 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 | 2 | 2022 |
| 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 | 1 | 2020 |
| 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 | 1 | 2019 |
| 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 |
| 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 |
George HripcsakColumbia UniversityVerified email at columbia.edu
