Dataset Open Access
Introducing Attribute Association Graphs to Facilitate Medical Data Exploration: Development and Evaluation Using Epidemiological Study Data
Louis Bellmann;
Alexander Johannes Wiederhold;
Leona Trübe;
Raphael Twerenbold;
Frank Ückert;
Karl Gottfried
This dataset capures statistical analysis of the HCHS cohort study using an attribute association graph and dashboard. This graph structure considers and visualizes subject attributes, their association with disease and control cohorts, and conditional relationships between attributes. Properties of 10,000 participants were analyzed for their association with cardiovascular disease. The data is presented in the form of Neo4J database dumps and can be installed and explored following the given user guide.
Files
(118.8 MB)
| Name | Size | |
|---|---|---|
|
GraphXplore_Neo4j_Bloom_config.json
md5:8a9300487658941b93e2a01cfa5c68f6 |
155.5 kB | Download |
|
GraphXplore_user_guide.pdf
md5:fe1dfbf9aeb21cd9a8c1606ab88abff8 |
928.8 kB | Download |
|
hchscvd.dump
md5:3a382fa69eb98f3e2c64f6f228adaac5 |
319.2 kB | Download |
|
hchsdashboarddata.dump
md5:e7c50838f91d0314e23ffc83a7a93a87 |
117.4 MB | Download |
|
HCHSGraphXplore_variable_descriptions.csv
md5:6903ff2815139f624f8abf58b92fb7c3 |
9.4 kB | Download |
- Publication date:
- June 12, 2023
- DOI:
-
- Keyword(s):
- Data Exploration Cohort Studies Data Visualization Big Data
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International