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
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
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
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
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
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
Deep learning in mental health outcome research: a scoping review
C Su, Z Xu, J Pathak, F Wang
Translational Psychiatry 10 (1), 116, 2020
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), e224, 2014
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
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
Knowledge-aware assessment of severity of suicide risk for early intervention
M Gaur, A Alambo, JP Sain, U Kursuncu, K Thirunarayan, R Kavuluru, ...
The world wide web conference, 514-525, 2019
Using EHRs and machine learning for heart failure survival analysis
M Panahiazar, V Taslimitehrani, N Pereira, J Pathak
MEDINFO 2015: eHealth-enabled Health, 40-44, 2015
The role of next-generation sequencing in precision medicine: a review of outcomes in oncology
M Morash, H Mitchell, H Beltran, O Elemento, J Pathak
Journal of personalized medicine 8 (3), 30, 2018
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
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