Name
Title | ||
|---|---|---|
Using network projections to explore co-incidence and context in large clinical datasets: Application to homelessness among U.S. Veterans. |
Abstract | ||
|---|---|---|
•Network projections of ICD codes reveal patterns prior to recognition of homelessness.•Network projections efficiently display co-incidence in large clinical datasets.•Projections of ICD codes may be configured to show comparison or change over time.•Exploring data co-incidence with network projections can aid hypothesis generation.•These data exploration methods complement traditional statistical techniques. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.jbi.2016.03.023 | Journal of Biomedical Informatics |
Keywords | DocType | Volume |
Homelessness,U.S. Veterans,Social network analysis,Information foraging,Data exploration,ICD9 codes | Journal | 61 |
ISSN | Citations | PageRank |
1532-0464 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Warren Pettey | 1 | 7 | 1.91 |
| Damon Toth | 2 | 2 | 0.70 |
| Andrew Redd | 3 | 11 | 6.59 |
| Marjorie Carter | 4 | 8 | 5.52 |
| Matthew H. Samore | 5 | 143 | 26.07 |
| Adi Gundlapalli | 6 | 47 | 14.74 |