Name
Title | ||
|---|---|---|
Extraction of echocardiographic data from the electronic medical record is a rapid and efficient method for study of cardiac structure and function. |
Abstract | ||
|---|---|---|
Measures of cardiac structure and function are important human phenotypes that are associated with a range of clinical outcomes. Studying these traits in large populations can be time consuming and costly. Utilizing data from large electronic medical records (EMRs) is one possible solution to this problem. We describe the extraction and filtering of quantitative transthoracic echocardiographic data from the Epidemiologic Architecture for Genes Linked to Environment (EAGLE) study, a large, racially diverse, EMR-based cohort (n = 15,863). |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1186/2043-9113-4-12 | J. Clinical Bioinformatics |
Keywords | Field | DocType |
bioinformatics,biomedical research,health informatics | Data science,Cardiac structure,Medical record,Bioinformatics,Health informatics,Cohort,Medicine | Journal |
Volume | Issue | ISSN |
4 | 1 | 2043-9113 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Quinn S. Wells | 1 | 0 | 0.34 |
| Eric Farber-Eger | 2 | 4 | 1.92 |
| Dana C. Crawford | 3 | 137 | 14.54 |