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Last Name
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Connection

Nancy Jean Cox to Electronic Health Records

This is a "connection" page, showing publications Nancy Jean Cox has written about Electronic Health Records.

 
Connection Strength
 
 
 
1.783
 
  1. Unlu G, Gamazon ER, Qi X, Levic DS, Bastarache L, Denny JC, Roden DM, Mayzus I, Breyer M, Zhong X, Konkashbaev AI, Rzhetsky A, Knapik EW, Cox NJ. GRIK5 Genetically Regulated Expression Associated with Eye and Vascular Phenomes: Discovery through Iteration among Biobanks, Electronic Health Records, and Zebrafish. Am J Hum Genet. 2019 03 07; 104(3):503-519.
    View in: PubMed
    Score: 0.581
  2. Zheng NS, Stone CA, Jiang L, Shaffer CM, Kerchberger VE, Chung CP, Feng Q, Cox NJ, Stein CM, Roden DM, Denny JC, Phillips EJ, Wei WQ. High-throughput framework forĀ genetic analyses of adverse drug reactions using electronic health records. PLoS Genet. 2021 06; 17(6):e1009593.
    View in: PubMed
    Score: 0.170
  3. Zheng NS, Feng Q, Kerchberger VE, Zhao J, Edwards TL, Cox NJ, Stein CM, Roden DM, Denny JC, Wei WQ. PheMap: a multi-resource knowledge base for high-throughput phenotyping within electronic health records. J Am Med Inform Assoc. 2020 11 01; 27(11):1675-1687.
    View in: PubMed
    Score: 0.163
  4. Walters CE, Nitin R, Margulis K, Boorom O, Gustavson DE, Bush CT, Davis LK, Below JE, Cox NJ, Camarata SM, Gordon RL. Automated Phenotyping Tool for Identifying Developmental Language Disorder Cases in Health Systems Data (APT-DLD): A New Research Algorithm for Deployment in Large-Scale Electronic Health Record Systems. J Speech Lang Hear Res. 2020 09 15; 63(9):3019-3035.
    View in: PubMed
    Score: 0.161
  5. Zhong X, Yin Z, Jia G, Zhou D, Wei Q, Faucon A, Evans P, Gamazon ER, Li B, Tao R, Rzhetsky A, Bastarache L, Cox NJ. Electronic health record phenotypes associated with genetically regulated expression of CFTR and application to cystic fibrosis. Genet Med. 2020 07; 22(7):1191-1200.
    View in: PubMed
    Score: 0.157
  6. Dennis J, Yengo-Kahn AM, Kirby P, Solomon GS, Cox NJ, Zuckerman SL. Diagnostic Algorithms to Study Post-Concussion Syndrome Using Electronic Health Records: Validating a Method to Capture an Important Patient Population. J Neurotrauma. 2019 07 15; 36(14):2167-2177.
    View in: PubMed
    Score: 0.146
  7. Wei WQ, Bastarache LA, Carroll RJ, Marlo JE, Osterman TJ, Gamazon ER, Cox NJ, Roden DM, Denny JC. Evaluating phecodes, clinical classification software, and ICD-9-CM codes for phenome-wide association studies in the electronic health record. PLoS One. 2017; 12(7):e0175508.
    View in: PubMed
    Score: 0.130
  8. Richter LD, Morley TJ, Hooker GW, Peay HL, Cox NJ, Ruderfer DM. Leveraging electronic health records to inform genetic counseling practice surrounding psychiatric disorders. J Genet Couns. 2022 08; 31(4):1008-1015.
    View in: PubMed
    Score: 0.045
  9. Wu P, Nelson SD, Zhao J, Stone CA, Feng Q, Chen Q, Larson EA, Li B, Cox NJ, Stein CM, Phillips EJ, Roden DM, Denny JC, Wei WQ. DDIWAS: High-throughput electronic health record-based screening of drug-drug interactions. J Am Med Inform Assoc. 2021 07 14; 28(7):1421-1430.
    View in: PubMed
    Score: 0.043
  10. Morley TJ, Han L, Castro VM, Morra J, Perlis RH, Cox NJ, Bastarache L, Ruderfer DM. Phenotypic signatures in clinical data enable systematic identification of patients for genetic testing. Nat Med. 2021 06; 27(6):1097-1104.
    View in: PubMed
    Score: 0.042
  11. Chen HH, Shaw DM, Petty LE, Graff M, Bohlender RJ, Polikowsky HG, Zhong X, Kim D, Buchanan VL, Preuss MH, Shuey MM, Loos RJF, Huff CD, Cox NJ, Bastarache JA, Bastarache L, North KE, Below JE. Host genetic effects in pneumonia. Am J Hum Genet. 2021 01 07; 108(1):194-201.
    View in: PubMed
    Score: 0.041
  12. Wei WQ, Li X, Feng Q, Kubo M, Kullo IJ, Peissig PL, Karlson EW, Jarvik GP, Lee MTM, Shang N, Larson EA, Edwards T, Shaffer CM, Mosley JD, Maeda S, Horikoshi M, Ritchie M, Williams MS, Larson EB, Crosslin DR, Bland ST, Pacheco JA, Rasmussen-Torvik LJ, Cronkite D, Hripcsak G, Cox NJ, Wilke RA, Stein CM, Rotter JI, Momozawa Y, Roden DM, Krauss RM, Denny JC. LPA Variants Are Associated With Residual Cardiovascular Risk in Patients Receiving Statins. Circulation. 2018 10 23; 138(17):1839-1849.
    View in: PubMed
    Score: 0.035
  13. Feng Q, Wei WQ, Chung CP, Levinson RT, Sundermann AC, Mosley JD, Bastarache L, Ferguson JF, Cox NJ, Roden DM, Denny JC, Linton MF, Edwards DRV, Stein CM. Relationship between very low low-density lipoprotein cholesterol concentrations not due to statin therapy and risk of type 2 diabetes: A US-based cross-sectional observational study using electronic health records. PLoS Med. 2018 08; 15(8):e1002642.
    View in: PubMed
    Score: 0.035
  14. Bastarache L, Hughey JJ, Hebbring S, Marlo J, Zhao W, Ho WT, Van Driest SL, McGregor TL, Mosley JD, Wells QS, Temple M, Ramirez AH, Carroll R, Osterman T, Edwards T, Ruderfer D, Velez Edwards DR, Hamid R, Cogan J, Glazer A, Wei WQ, Feng Q, Brilliant M, Zhao ZJ, Cox NJ, Roden DM, Denny JC. Phenotype risk scores identify patients with unrecognized Mendelian disease patterns. Science. 2018 03 16; 359(6381):1233-1239.
    View in: PubMed
    Score: 0.034
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.