Name
Title | ||
|---|---|---|
Evaluating the granularity balance of hierarchical relationships within large biomedical terminologies towards quality improvement. |
Abstract | ||
|---|---|---|
•Models are provided for evaluating granularity balance of semantic relationships.•Experiments are conducted in FMA and SNOMED CT.•Over 3000 imbalances detected are redundancies or are caused by them.•Inconsistencies, missing concepts and misalignments are identified. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.jbi.2017.10.001 | Journal of Biomedical Informatics |
Keywords | Field | DocType |
Biomedical terminology,Quality assurance,FMA,SNOMED CT,Granularity balance | Ontology,Data mining,Computer science,Systematized Nomenclature of Medicine,Redundancy (engineering),Granularity,SNOMED CT,Quality management,Scalability,Quality assurance | Journal |
Volume | Issue | ISSN |
75 | C | 1532-0464 |
Citations | PageRank | References |
0 | 0.34 | 19 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lingyun Luo | 1 | 1 | 1.71 |
| Ling Tong | 2 | 6 | 2.50 |
| Xiaoxi Zhou | 3 | 0 | 0.34 |
| José L V Mejino | 4 | 679 | 76.38 |
| Chunping Ouyang | 5 | 6 | 3.35 |
| Yongbin Liu | 6 | 58 | 11.05 |