Li, S., Yan, M., Yuan, R., Liu, M., Liu, N., & Hong, C. (2025). FedIMPUTE: Privacy-preserving missing value imputation for multi-site heterogeneous electronic health records. Journal of Biomedical Informatics, 165, 104780. https://doi.org/10.1016/j.jbi.2025.104780

Idnay, B., Fang, Y., Stanley, E., Ruotolo, B., Chung, W. K., Marder, K., & Weng, C. (2024). Promoting equity in clinical research: The role of social determinants of health. Journal of Biomedical Informatics, 156, 104663. https://doi.org/10.1016/j.jbi.2024.104663

Zhang, L., Richter, L. R., Wang, Y., Ostropolets, A., Elhadad, N., Blei, D. M., & Hripcsak, G. (2024). Causal fairness assessment of treatment allocation with electronic health records. Journal of Biomedical Informatics, 155, 104656. https://doi.org/10.1016/j.jbi.2024.104656

Schiffer-Kane, K., Liu, C., Callahan, T. J., Ta, C., Nestor, J. G., & Weng, C. (2024). Converting OMOP CDM to phenopackets: A model alignment and patient data representation evaluation. Journal of Biomedical Informatics, 155, 104659. https://doi.org/10.1016/j.jbi.2024.104659

Park, J., Fang, Y., Ta, C., Zhang, G., Idnay, B., Chen, F., Feng, D., Shyu, R., Gordon, E. R., Spotnitz, M., & Weng, C. (2024). Criteria2Query 3.0: Leveraging generative large language models for clinical trial eligibility query generation. Journal of Biomedical Informatics, 154, 104649. https://doi.org/10.1016/j.jbi.2024.104649

Wei, Q., Yao, Z., Cui, Y., Wei, B., Jin, Z., & Xu, X. (2024). Evaluation of ChatGPT-generated medical responses: A systematic review and meta-analysis. Journal of Biomedical Informatics, 151, 104620. https://doi.org/10.1016/j.jbi.2024.104620

Wang, Y., Stroh, J. N., Hripcsak, G., Low Wang, C. C., Bennett, T. D., Wrobel, J., Der Nigoghossian, C., Mueller, S. W., Claassen, J., & Albers, D. J. (2023). A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estimation. Journal of Biomedical Informatics, 148, 104547. https://doi.org/10.1016/j.jbi.2023.104547

Albers, D., Sirlanci, M., Levine, M., Claassen, J., Nigoghossian, C. D., & Hripcsak, G. (2023). Interpretable physiological forecasting in the ICU using constrained data assimilation and electronic health record data. Journal of Biomedical Informatics, 145, 104477. https://doi.org/10.1016/j.jbi.2023.104477

Wu, Q., Schuemie, M. J., Suchard, M. A., Ryan, P., Hripcsak, G. M., Rohde, C. A., & Chen, Y. (2023). Padé approximant meets federated learning: A nearly lossless, one-shot algorithm for evidence synthesis in distributed research networks with rare outcomes. Journal of Biomedical Informatics, 145, 104476. https://doi.org/10.1016/j.jbi.2023.104476

Burgermaster, M., Desai, P. M., Heitkemper, E. M., Juul, F., Mitchell, E. G., Turchioe, M., Albers, D. J., Levine, M. E., Larson, D., & Mamykina, L. (2023). Who needs what (features) when? Personalizing engagement with data-driven self-management to improve health equity. Journal of Biomedical Informatics, 144, 104419. https://doi.org/10.1016/j.jbi.2023.104419

Keloth, V. K., Banda, J. M., Gurley, M., Heider, P. M., Kennedy, G., Liu, H., Liu, F., Miller, T., Natarajan, K., V Patterson, O., Peng, Y., Raja, K., Reeves, R. M., Rouhizadeh, M., Shi, J., Wang, X., Wang, Y., Wei, W.-Q., Williams, A. E., … Xu, H. (2023). Representing and utilizing clinical textual data for real world studies: An OHDSI approach. Journal of Biomedical Informatics, 142, 104343. https://doi.org/10.1016/j.jbi.2023.104343

Lee, J., Liu, C., Kim, J., Chen, Z., Sun, Y., Rogers, J. R., Chung, W. K., & Weng, C. (2022). Deep learning for rare disease: A scoping review. Journal of Biomedical Informatics, 135, 104227. https://doi.org/10.1016/j.jbi.2022.104227

Zhang, L., Wang, Y., Schuemie, M. J., Blei, D. M., & Hripcsak, G. (2022). Adjusting for indirectly measured confounding using large-scale propensity score. Journal of Biomedical Informatics, 134, 104204. https://doi.org/10.1016/j.jbi.2022.104204

Park, J., Artin, M. G., Lee, K. E., Pumpalova, Y. S., Ingram, M. A., May, B. L., Park, M., Hur, C., & Tatonetti, N. P. (2022). Deep learning on time series laboratory test results from electronic health records for early detection of pancreatic cancer. Journal of Biomedical Informatics, 131, 104095. https://doi.org/10.1016/j.jbi.2022.104095

Song, J., Hobensack, M., Bowles, K. H., McDonald, M. V., Cato, K., Rossetti, S. C., Chae, S., Kennedy, E., Barrón, Y., Sridharan, S., & Topaz, M. (2022). Clinical notes: An untapped opportunity for improving risk prediction for hospitalization and emergency department visit during home health care. Journal of Biomedical Informatics, 128, 104039. https://doi.org/10.1016/j.jbi.2022.104039

Rogers, J. R., Pavisic, J., Ta, C. N., Liu, C., Soroush, A., Kuen Cheung, Y., Hripcsak, G., & Weng, C. (2022). Leveraging electronic health record data for clinical trial planning by assessing eligibility criteria’s impact on patient count and safety. Journal of Biomedical Informatics, 127, 104032. https://doi.org/10.1016/j.jbi.2022.104032