| Observational Health Data Sciences and Informatics (OHDSI): opportunities for observational researchers G Hripcsak, JD Duke, NH Shah, CG Reich, V Huser, MJ Schuemie, ... MEDINFO 2015: eHealth-enabled Health, 574-578, 2015 | 1317 | 2015 |
| Generating multi-label discrete patient records using generative adversarial networks E Choi, S Biswal, B Malin, J Duke, WF Stewart, J Sun Machine learning for healthcare conference, 286-305, 2017 | 832 | 2017 |
| Explainable prediction of medical codes from clinical text J Mullenbach, S Wiegreffe, J Duke, J Sun, J Eisenstein arXiv preprint arXiv:1802.05695, 2018 | 730 | 2018 |
| Characterizing treatment pathways at scale using the OHDSI network G Hripcsak, PB Ryan, JD Duke, NH Shah, RW Park, V Huser, MA Suchard, ... Proceedings of the National Academy of Sciences 113 (27), 7329-7336, 2016 | 369 | 2016 |
| Comprehensive comparative effectiveness and safety of first-line antihypertensive drug classes: a systematic, multinational, large-scale analysis MA Suchard, MJ Schuemie, HM Krumholz, SC You, RJ Chen, N Pratt, ... The Lancet 394 (10211), 1816-1826, 2019 | 351 | 2019 |
| Defining a reference set to support methodological research in drug safety PB Ryan, MJ Schuemie, E Welebob, J Duke, S Valentine, AG Hartzema Drug safety 36, 33-47, 2013 | 150 | 2013 |
| Comparative first-line effectiveness and safety of ACE (angiotensin-converting enzyme) inhibitors and angiotensin receptor blockers: a multinational cohort study RJ Chen, MA Suchard, HM Krumholz, MJ Schuemie, S Shea, J Duke, ... Hypertension 78 (3), 591-603, 2021 | 144 | 2021 |
| Literature based drug interaction prediction with clinical assessment using electronic medical records: novel myopathy associated drug interactions JD Duke, X Han, Z Wang, A Subhadarshini, SD Karnik, X Li, SD Hall, ... Public Library of Science 8 (8), e1002614, 2012 | 137 | 2012 |
| Adherence to drug—drug interaction alerts in high-risk patients: a trial of context-enhanced alerting JD Duke, X Li, P Dexter Journal of the American Medical Informatics Association 20 (3), 494-498, 2013 | 78 | 2013 |
| Generating multi-label discrete electronic health records using generative adversarial networks E Choi, S Biswal, BA Malin, J Duke, WF Stewart, J Sun CoRR, 2017 | 77 | 2017 |
| Supporting clinical cognition: a human-centered approach to a novel ICU information visualization dashboard A Faiola, P Srinivas, J Duke AMIA Annual Symposium Proceedings 2015, 560, 2015 | 75 | 2015 |
| Multisite evaluation of a data quality tool for patient-level clinical data sets V Huser, FJ DeFalco, M Schuemie, PB Ryan, N Shang, M Velez, RW Park, ... EGEMs 4 (1), 1239, 2016 | 71 | 2016 |
| Development and preliminary evidence for the validity of an instrument assessing implementation of human-factors principles in medication-related decision-support systems—I-MeDeSA M Zachariah, S Phansalkar, HM Seidling, PM Neri, KM Cresswell, J Duke, ... Journal of the American Medical Informatics Association 18 (Supplement_1 …, 2011 | 64 | 2011 |
| Bridging islands of information to establish an integrated knowledge base of drugs and health outcomes of interest RD Boyce, PB Ryan, GN Norén, MJ Schuemie, C Reich, J Duke, ... Drug safety 37, 557-567, 2014 | 63 | 2014 |
| A quantitative analysis of adverse events and “overwarning” in drug labeling J Duke, J Friedlin, P Ryan Archives of internal medicine 171 (10), 941-954, 2011 | 61 | 2011 |
| A successful model and visual design for creating context-aware drug-drug interaction alerts JD Duke, D Bolchini AMIA Annual Symposium Proceedings 2011, 339, 2011 | 60 | 2011 |
| Comprehensive comparative effectiveness and safety of first-line β-blocker monotherapy in hypertensive patients: a large-scale multicenter observational study S Chan You, HM Krumholz, MA Suchard, MJ Schuemie, G Hripcsak, ... Hypertension 77 (5), 1528-1538, 2021 | 57 | 2021 |
| ADESSA: a real-time decision support service for delivery of semantically coded adverse drug event data JD Duke, J Friedlin AMIA Annual symposium proceedings 2010, 177, 2010 | 57 | 2010 |
| Incrementally transforming electronic medical records into the observational medical outcomes partnership common data model: a multidimensional quality assurance approach KE Lynch, SA Deppen, SL DuVall, B Viernes, A Cao, D Park, E Hanchrow, ... Applied clinical informatics 10 (05), 794-803, 2019 | 55 | 2019 |
| EVA: Generating longitudinal electronic health records using conditional variational autoencoders S Biswal, S Ghosh, J Duke, B Malin, W Stewart, C Xiao, J Sun Machine learning for healthcare conference, 260-282, 2021 | 50 | 2021 |
