|Observational Health Data Sciences and Informatics (OHDSI): opportunities for observational researchers|
G Hripcsak, JD Duke, NH Shah, CG Reich, V Huser, MJ Schuemie, ...
Studies in health technology and informatics 216, 574, 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
|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
|Explainable prediction of medical codes from clinical text|
J Mullenbach, S Wiegreffe, J Duke, J Sun, J Eisenstein
arXiv preprint arXiv:1802.05695, 2018
|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 (1), 33-47, 2013
|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, ...
PLoS Computational Biology 8 (8), e1002614, 2012
|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
|Adherence to drug–drug interaction alerts in high-risk patients: a trial of context-enhanced alerting|
J Duke, X Li, D P
Journal of the American Medical Informatics Association, 2012
|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
|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
|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
|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 (8), 557-567, 2014
|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
|Consistency in the safety labeling of bioequivalent medications|
J Duke, J Friedlin, X Li
Pharmacoepidemiology and drug safety 22 (3), 294-301, 2013
|Data visualization speeds review of potential adverse drug events in patients on multiple medications|
JD Duke, X Li, SJ Grannis
Journal of biomedical informatics 43 (2), 326-331, 2010
|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
|Regenstrief Institute's medical gopher: A next-generation homegrown electronic medical record system|
JD Duke, J Morea, B Mamlin, DK Martin, L Simonaitis, BY Takesue, ...
International journal of medical informatics 83 (3), 170-179, 2014
|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), 2016
|Speaking the same language? International variations in the safety information accompanying top-selling prescription drugs|
AS Kesselheim, JM Franklin, J Avorn, JD Duke
BMJ quality & safety 22 (9), 727-734, 2013
|Is big data the new frontier for academic-industry collaboration?|
SH Jain, M Rosenblatt, J Duke
Jama 311 (21), 2171-2172, 2014