|Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data|
JC Denny, L Bastarache, MD Ritchie, RJ Carroll, R Zink, JD Mosley, ...
Nature biotechnology 31 (12), 1102-1111, 2013
|Electronic medical records for genetic research: results of the eMERGE consortium|
AN Kho, JA Pacheco, PL Peissig, L Rasmussen, KM Newton, N Weston, ...
Science translational medicine 3 (79), 79re1-79re1, 2011
|The phenotypic legacy of admixture between modern humans and Neandertals|
CN Simonti, B Vernot, L Bastarache, E Bottinger, DS Carrell, RL Chisholm, ...
Science 351 (6274), 737-741, 2016
|Preemptive genotyping for personalized medicine: design of the right drug, right dose, right time—using genomic data to individualize treatment protocol|
SJ Bielinski, JE Olson, J Pathak, RM Weinshilboum, L Wang, KJ Lyke, ...
Mayo Clinic Proceedings 89 (1), 25-33, 2014
|PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability|
JC Kirby, P Speltz, LV Rasmussen, M Basford, O Gottesman, PL Peissig, ...
Journal of the American Medical Informatics Association 23 (6), 1046-1052, 2016
|Variants near FOXE1 are associated with hypothyroidism and other thyroid conditions: using electronic medical records for genome-and phenome-wide studies|
JC Denny, DC Crawford, MD Ritchie, SJ Bielinski, MA Basford, Y Bradford, ...
The American Journal of Human Genetics 89 (4), 529-542, 2011
|Building a robust, scalable and standards-driven infrastructure for secondary use of EHR data: the SHARPn project|
S Rea, J Pathak, G Savova, TA Oniki, L Westberg, CE Beebe, C Tao, ...
Journal of biomedical informatics 45 (4), 763-771, 2012
|Electronic health records-driven phenotyping: challenges, recent advances, and perspectives|
J Pathak, AN Kho, JC Denny
Journal of the American Medical Informatics Association 20 (e2), e206-e211, 2013
|Design and anticipated outcomes of the eMERGE‐PGx project: a multicenter pilot for preemptive pharmacogenomics in electronic health record systems|
LJ Rasmussen‐Torvik, SC Stallings, AS Gordon, B Almoguera, ...
Clinical Pharmacology & Therapeutics 96 (4), 482-489, 2014
|The Mayo Clinic Biobank: a building block for individualized medicine|
JE Olson, E Ryu, KJ Johnson, BA Koenig, KJ Maschke, JA Morrisette, ...
Mayo Clinic Proceedings 88 (9), 952-962, 2013
|Genome-and phenome-wide analyses of cardiac conduction identifies markers of arrhythmia risk|
MD Ritchie, JC Denny, RL Zuvich, DC Crawford, JS Schildcrout, ...
Circulation 127 (13), 1377-1385, 2013
|Evaluating the process of online health information searching: a qualitative approach to exploring consumer perspectives|
AS Fiksdal, A Kumbamu, AS Jadhav, C Cocos, LA Nelsen, J Pathak, ...
Journal of medical Internet research 16 (10), e3341, 2014
|A framework for semantic web services discovery|
J Pathak, N Koul, D Caragea, VG Honavar
Proceedings of the 7th annual ACM international workshop on Web information …, 2005
|Leveraging informatics for genetic studies: use of the electronic medical record to enable a genome-wide association study of peripheral arterial disease|
IJ Kullo, J Fan, J Pathak, GK Savova, Z Ali, CG Chute
Journal of the American Medical Informatics Association 17 (5), 568-574, 2010
|Normalization and standardization of electronic health records for high-throughput phenotyping: the SHARPn consortium|
J Pathak, KR Bailey, CE Beebe, S Bethard, DS Carrell, PJ Chen, ...
Journal of the American Medical Informatics Association 20 (e2), e341-e348, 2013
|Importance of multi-modal approaches to effectively identify cataract cases from electronic health records|
PL Peissig, LV Rasmussen, RL Berg, JG Linneman, CA McCarty, ...
Journal of the American Medical Informatics Association 19 (2), 225-234, 2012
|Mapping clinical phenotype data elements to standardized metadata repositories and controlled terminologies: the eMERGE Network experience|
J Pathak, J Wang, S Kashyap, M Basford, R Li, DR Masys, CG Chute
Journal of the American Medical Informatics Association 18 (4), 376-386, 2011
|Desiderata for computable representations of electronic health records-driven phenotype algorithms|
H Mo, WK Thompson, LV Rasmussen, JA Pacheco, G Jiang, R Kiefer, ...
Journal of the American Medical Informatics Association 22 (6), 1220-1230, 2015
|Semi-supervised approach to monitoring clinical depressive symptoms in social media|
AH Yazdavar, HS Al-Olimat, M Ebrahimi, G Bajaj, T Banerjee, ...
Proceedings of the 2017 IEEE/ACM International Conference on Advances in …, 2017
|Using EHRs and machine learning for heart failure survival analysis|
M Panahiazar, V Taslimitehrani, N Pereira, J Pathak
Studies in health technology and informatics 216, 40, 2015