| CREB3L1 as a potential biomarker predicting response of triple negative breast cancer to doxorubicin-based chemotherapy B Denard, S Jiang, Y Peng, J Ye BMC cancer 18, 1-7, 2018 | 41 | 2018 |
| Conceptualizing machine learning for dynamic information retrieval of electronic health record notes S Jiang, S Shen, M Agrawal, B Lam, N Kurtzman, S Horng, DR Karger, ... Machine Learning for Healthcare Conference, 343-359, 2023 | 3 | 2023 |
| Systematically exploring repurposing effects of antihypertensives Z Shahn, P Spear, H Lu, S Jiang, S Zhang, N Deshmukh, S Xu, K Ng, ... Pharmacoepidemiology and Drug Safety 31 (9), 944-952, 2022 | 1 | 2022 |
| State of the Art Causal Inference in the Presence of Extraneous Covariates: A Simulation Study R Cobzaru, S Jiang, K Ng, S Finkelstein, R Welsch, Z Shahn AMIA Annual Symposium Proceedings 2021, 334, 2021 | 1 | 2021 |
| Machine learning to predict notes for chart review in the oncology setting: a proof of concept strategy for improving clinician note-writing S Jiang, BD Lam, M Agrawal, S Shen, N Kurtzman, S Horng, DR Karger, ... Journal of the American Medical Informatics Association, ocae092, 2024 | | 2024 |
| ConflictClassifier: An Interpretable Pipeline to Identify Contradictions in Clinical Notes S Jiang 2021 IEEE MIT Undergraduate Research Technology Conference (URTC), 1-5, 2021 | | 2021 |
