| Predicting missing values in medical data via XGBoost regression X Zhang, C Yan, C Gao, BA Malin, Y Chen Journal of healthcare informatics research 4, 383-394, 2020 | 130 | 2020 |
| Predicting next-day discharge via electronic health record access logs X Zhang*, C Yan*, BA Malin, MB Patel, Y Chen Journal of the American Medical Informatics Association 28 (12), 2670-2680, 2021 | 22 | 2021 |
| Collaboration structures in COVID-19 critical care: retrospective network analysis study C Yan, X Zhang, C Gao, E Wilfong, J Casey, D France, Y Gong, M Patel, ... JMIR human factors 8 (1), e25724, 2021 | 18 | 2021 |
| XGBoost imputation for time series data X Zhang, C Yan, C Gao, B Malin, Y Chen 2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-3, 2019 | 16 | 2019 |
| Differences in health professionals’ engagement with electronic health records based on inpatient race and ethnicity C Yan*, X Zhang*, Y Yang*, K Kang, MC Were, P Embí, MB Patel, ... JAMA network open 6 (10), e2336383-e2336383, 2023 | 13 | 2023 |
| Split learning for distributed collaborative training of deep learning models in health informatics Z Li, C Yan, X Zhang, G Gharibi, Z Yin, X Jiang, BA Malin AMIA Annual Symposium Proceedings 2023, 1047, 2024 | 11 | 2024 |
| Deep imputation of temporal data C Yan, C Gao, X Zhang, Y Chen, B Malin 2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-3, 2019 | 9 | 2019 |
| Learning tasks of pediatric providers from electronic health record audit logs B Jones, X Zhang, BA Malin, Y Chen AMIA Annual Symposium Proceedings 2020, 612, 2021 | 8 | 2021 |
| Forecasting the future clinical events of a patient through contrastive learning Z Zhang, C Yan, X Zhang, SL Nyemba, BA Malin Journal of the American Medical Informatics Association 29 (9), 1584-1592, 2022 | 6 | 2022 |
| Cardiometabolic improvements after metabolic surgery and related presurgery factors L Wang, MT O’Brien, X Zhang, Y Chen, WJ English, B Williams, M Spann, ... Journal of the Endocrine Society 8 (5), bvae027, 2024 | 5 | 2024 |
| How adversarial assumptions influence re-identification risk measures: A COVID-19 case study X Zhang, Z Wan, C Yan, JT Brown, W Xia, A Gkoulalas-Divanis, ... International Conference on Privacy in Statistical Databases, 361-374, 2022 | 3 | 2022 |
| Optimizing large language models for discharge prediction: best practices in leveraging electronic health record audit logs X Zhang, C Yan, Y Yang, Z Li, Y Feng, BA Malin, Y Chen medRxiv, 2024.09. 12.24313594, 2024 | 2 | 2024 |
| Inferring EHR utilization workflows through audit logs X Zhang*, Y Zhao*, C Yan, T Derr, Y Chen AMIA Annual Symposium Proceedings 2022, 1247, 2022 | 2 | 2022 |
| Association Between Patient Portal Engagement and Weight Loss Outcomes in Patients After Bariatric Surgery: Longitudinal Observational Study Using Electronic Health Records X Zhang, K Kang, C Yan, Y Feng, S Vandekar, D Yu, ST Rosenbloom, ... Journal of Medical Internet Research 26, e56573, 2024 | 1 | 2024 |
| Not the models you are looking for: Traditional ML outperforms LLMs in clinical prediction tasks KE Brown, C Yan, Z Li, X Zhang, BX Collins, Y Chen, EW Clayton, ... medRxiv, 2024.12. 03.24318400, 2024 | 1 | 2024 |
| Bariatric Surgery Is Associated With Reduced Incidence of Mild Cognitive Impairment and Alzheimer Disease and Related Dementias: A Retrospective Cohort Study Y Chen, Y Feng, X Zhang, KA Gifford, Y Elmanzalawi, J Samuels, ... Annals of Surgery Open 6 (1), e541, 2025 | | 2025 |
| Reduced Risk of Cardiovascular Diseases after Bariatric Surgery Based on the New PREVENT Equations L Wang, X Zhang, Y Chen, CR Flynn, WJ English, JM Samuels, ... medRxiv, 2024 | | 2024 |
Chao YanInstructor at DBMI, VUMC; CS PhD from Vanderbilt UПотвърден имейл адрес: vumc.org
