Jyotishman Pathak
Jyotishman Pathak
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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
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