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| 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 | 377 | 2016 |
| 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 | 367 | 2016 |
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| 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 | 329 | 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 | 303 | 2011 |
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| 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 | 263 | 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 | 261 | 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 | 260 | 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 | 209 | 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 | 199 | 2014 |
| 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 | 197 | 2013 |
| 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 | 177 | 2017 |
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| 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 | 171 | 2005 |
| 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 | 169 | 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 | 163 | 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 | 153 | 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 | 148 | 2013 |
