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Luke V. Rasmussen
Luke V. Rasmussen
Senior Clinical Research Associate, Northwestern University
Verifierad e-postadress på northwestern.edu
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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
9702013
Quality control procedures for genome‐wide association studies
S Turner, LL Armstrong, Y Bradford, CS Carlson, DC Crawford, ...
Current protocols in human genetics 68 (1), 1.19. 1-1.19. 18, 2011
4512011
Validation of electronic medical record-based phenotyping algorithms: results and lessons learned from the eMERGE network
KM Newton, PL Peissig, AN Kho, SJ Bielinski, RL Berg, V Choudhary, ...
Journal of the American Medical Informatics Association 20 (e1), e147-e154, 2013
4102013
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
3552011
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
3492016
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
2962011
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
2522014
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
1932013
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
1412015
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
1302012
Analyzing the heterogeneity and complexity of Electronic Health Record oriented phenotyping algorithms
M Conway, RL Berg, D Carrell, JC Denny, AN Kho, IJ Kullo, JG Linneman, ...
AMIA annual symposium proceedings 2011, 274, 2011
1192011
Practical challenges in integrating genomic data into the electronic health record
AN Kho, LV Rasmussen, JJ Connolly, PL Peissig, J Starren, ...
Genetics in Medicine 15 (10), 772-778, 2013
1112013
Harmonizing clinical sequencing and interpretation for the eMERGE III network
H Zouk, E Venner, NJ Lennon, DM Muzny, D Abrams, S Adunyah, ...
The American Journal of Human Genetics 105 (3), 588-605, 2019
922019
Stakeholder engagement: a key component of integrating genomic information into electronic health records
A Hartzler, CA McCarty, LV Rasmussen, MS Williams, M Brilliant, ...
Genetics in Medicine 15 (10), 792-801, 2013
902013
Provider perspectives on the integration of patient-reported outcomes in an electronic health record
R Zhang, ER Burgess, MC Reddy, NE Rothrock, S Bhatt, LV Rasmussen, ...
JAMIA open 2 (1), 73-80, 2019
892019
CSER and eMERGE: current and potential state of the display of genetic information in the electronic health record
BH Shirts, JS Salama, SJ Aronson, WK Chung, SW Gray, LA Hindorff, ...
Journal of the American Medical Informatics Association 22 (6), 1231-1242, 2015
892015
Pitfalls of merging GWAS data: lessons learned in the eMERGE network and quality control procedures to maintain high data quality
RL Zuvich, LL Armstrong, SJ Bielinski, Y Bradford, CS Carlson, ...
Genetic epidemiology 35 (8), 887-898, 2011
842011
Primary care practices’ abilities and challenges in using electronic health record data for quality improvement
DJ Cohen, DA Dorr, K Knierim, CA DuBard, JR Hemler, JD Hall, M Marino, ...
Health Affairs 37 (4), 635-643, 2018
812018
Design patterns for the development of electronic health record-driven phenotype extraction algorithms
LV Rasmussen, WK Thompson, JA Pacheco, AN Kho, DS Carrell, ...
Journal of biomedical informatics 51, 280-286, 2014
662014
Facilitating phenotype transfer using a common data model
G Hripcsak, N Shang, PL Peissig, LV Rasmussen, C Liu, B Benoit, ...
Journal of biomedical informatics 96, 103253, 2019
632019
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Artiklar 1–20