Name
Title | ||
|---|---|---|
An Architecture for Metadata-driven Integration of Heterogeneous Sensor and Health Data for Translational Exposomic Research |
Abstract | ||
|---|---|---|
Exposomic research requires the generation of comprehensive spatio-temporal records of exposures along with capturing associated metadata describing limitations and uncertainties associated with the data. We describe the architecture of a metadata-driven Big Data integration platform for integration of sensor and health data to support diverse translational exposomic research. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/BHI.2019.8834657 | 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) |
Keywords | Field | DocType |
exposome,sensor informatics,data integration,metadata management,clinical research | Data integration,Data science,Metadata,Architecture,Computer science,Big data,Integration platform,Metadata management,Exposome | Conference |
ISSN | ISBN | Citations |
2641-3590 | 978-1-7281-0849-0 | 0 |
PageRank | References | Authors |
0.34 | 0 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ramkiran Gouripeddi | 1 | 1 | 7.12 |
| Le-Thuy Tran | 2 | 0 | 0.34 |
| Randy Madsen | 3 | 0 | 0.68 |
| Tanvi Gangadhar | 4 | 0 | 0.34 |
| Peter Mo | 5 | 0 | 0.34 |
| Nicole Burnett | 6 | 0 | 0.34 |
| Ryan Butcher | 7 | 0 | 0.34 |
| Katherine A. Sward | 8 | 0 | 0.34 |
| julio c facelli | 9 | 68 | 17.87 |