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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

1.678
  1. 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: 0.533
  2. 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: 0.156
  3. 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: 0.150
  4. 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: 0.147
  5. 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: 0.144
  6. 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: 0.134
  7. 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: 0.119
  8. Polygenic Contributions to Chronic Overlapping Pain Conditions in a Large Electronic Health Record Sample. J Pain. 2023 Jun; 24(6):1056-1068.
    View in: PubMed
    Score: 0.044
  9. 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: 0.041
  10. 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: 0.039
  11. 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: 0.039
  12. Host genetic effects in pneumonia. Am J Hum Genet. 2021 01 07; 108(1):194-201.
    View in: PubMed
    Score: 0.038
  13. LPA Variants Are Associated With Residual Cardiovascular Risk in Patients Receiving Statins. Circulation. 2018 10 23; 138(17):1839-1849.
    View in: PubMed
    Score: 0.032
  14. 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: 0.032
  15. Phenotype risk scores identify patients with unrecognized Mendelian disease patterns. Science. 2018 03 16; 359(6381):1233-1239.
    View in: PubMed
    Score: 0.031
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.