| Paving the COWpath: Learning and visualizing clinical pathways from electronic health record data Y Zhang, R Padman, N Patel Journal of biomedical informatics 58, 186-197, 2015 | 122 | 2015 |
| Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes H Zhang, C Zang, Z Xu, Y Zhang, J Xu, J Bian, D Morozyuk, D Khullar, ... Nature Medicine 29 (1), 226-235, 2023 | 90 | 2023 |
| Using electronic health records and machine learning to predict postpartum depression S Wang, J Pathak, Y Zhang MEDINFO 2019: Health and Wellbeing e-Networks for All, 888-892, 2019 | 82 | 2019 |
| Development and validation of a machine learning algorithm for predicting the risk of postpartum depression among pregnant women Y Zhang, S Wang, A Hermann, R Joly, J Pathak Journal of affective disorders 279, 1-8, 2021 | 80 | 2021 |
| Determinants of in‐hospital mortality after percutaneous coronary intervention: a machine learning approach SJ Al'Aref, G Singh, AR van Rosendael, KK Kolli, X Ma, G Maliakal, ... Journal of the American Heart Association 8 (5), e011160, 2019 | 69 | 2019 |
| Electronic health records: Implications for drug discovery L Yao, Y Zhang, Y Li, P Sanseau, P Agarwal Drug discovery today 16 (13-14), 594-599, 2011 | 64 | 2011 |
| Assessing the impact of social determinants of health on predictive models for potentially avoidable 30-day readmission or death Y Zhang, Y Zhang, E Sholle, S Abedian, M Sharko, MR Turchioe, Y Wu, ... PloS one 15 (6), e0235064, 2020 | 51 | 2020 |
| Paving the COWpath: data-driven design of pediatric order sets Y Zhang, R Padman, JE Levin Journal of the American Medical Informatics Association 21 (e2), e304-e311, 2014 | 50 | 2014 |
| Characteristics of acute kidney injury in hospitalized COVID-19 patients in an urban academic medical center JR Lee, J Silberzweig, O Akchurin, ME Choi, V Srivatana, J Lin, F Liu, ... Clinical Journal of the American Society of Nephrology 16 (2), 284-286, 2021 | 40 | 2021 |
| Innovations in chronic care delivery using data-driven clinical pathways Y Zhang, R Padman Am J Manag Care 21 (12), e661-e668, 2015 | 39 | 2015 |
| Estimation of postpartum depression risk from electronic health records using machine learning G Amit, I Girshovitz, K Marcus, Y Zhang, J Pathak, V Bar, P Akiva BMC Pregnancy and Childbirth 21, 1-10, 2021 | 26 | 2021 |
| On clinical pathway discovery from electronic health record data Y Zhang, R Padman, L Wasserman, N Patel, P Teredesai, Q Xie IEEE Intelligent Systems 30 (1), 70-75, 2015 | 26 | 2015 |
| Data‐driven discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health records J Xu, F Wang, Z Xu, P Adekkanattu, P Brandt, G Jiang, RC Kiefer, Y Luo, ... Learning Health Systems 4 (4), e10246, 2020 | 25 | 2020 |
| Cognitive workload reduction in hospital information systems: Decision support for order set optimization D Gartner, Y Zhang, R Padman Health care management science 21, 224-243, 2018 | 24 | 2018 |
| Current and future applications of artificial intelligence in coronary artery disease N Gautam, P Saluja, A Malkawi, MG Rabbat, MH Al-Mallah, G Pontone, ... Healthcare 10 (2), 232, 2022 | 22 | 2022 |
| Data-driven order set generation and evaluation in the pediatric environment Y Zhang, JE Levin, R Padman AMIA Annual Symposium Proceedings 2012, 1469, 2012 | 21 | 2012 |
| Data-driven clinical and cost pathways for chronic care delivery Y Zhang, R Padman Am J Manag Care 22 (12), 816-820, 2016 | 19 | 2016 |
| On learning and visualizing practice-based clinical pathways for chronic kidney disease Y Zhang, R Padman, L Wasserman AMIA Annual Symposium Proceedings 2014, 1980, 2014 | 19 | 2014 |
| The potential value of social determinants of health in predicting health outcomes JS Ancker, MH Kim, Y Zhang, Y Zhang, J Pathak Journal of the American Medical Informatics Association 25 (8), 1109-1110, 2018 | 17 | 2018 |
| Reducing provider cognitive workload in CPOE use: Optimizing order sets Y Zhang, R Padman, JE Levin MEDINFO 2013, 734-738, 2013 | 16 | 2013 |
