| 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 | 81 | 2018 |
| 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 | 11 | 2019 |
| 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 | 7 | 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 | 7 | 2020 |
| 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 | 4 | 2020 |
| 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 | 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 |
| 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 |
Anna OstropoletsMD, PhD Student, Columbia University Medical CenterVerified email at cumc.columbia.edu
