Name
Abstract | ||
|---|---|---|
•New distance measure between sets where set items are arranged in concept hierarchy.•Natural extension of Jaccard distance to include a concept hierarchy.•Improved clustering results compared with traditional approaches. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.jbi.2016.07.021 | Journal of Biomedical Informatics |
Keywords | Field | DocType |
Distance measure using concept hierarchy,ICD-10 taxonomy,Patient similarity calculation | Data mining,Information retrieval,Computer science,Categorical variable,Jaccard index,Cluster analysis,Hierarchy,Medical diagnosis,Concept hierarchy,Distance measures | Journal |
Volume | Issue | ISSN |
63 | C | 1532-0464 |
Citations | PageRank | References |
2 | 0.42 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dominic Girardi | 1 | 21 | 3.54 |
| Sandra Wartner | 2 | 2 | 0.76 |
| Gerhard Halmerbauer | 3 | 2 | 0.42 |
| Margit Ehrenmüller | 4 | 2 | 0.42 |
| Hilda Kosorus | 5 | 15 | 3.90 |
| Stephan Dreiseitl | 6 | 338 | 34.80 |