Name
Abstract | ||
|---|---|---|
DermO is an ontology with broad coverage of the domain of dermatologic disease and we demonstrate here its utility for text mining and investigation of phenotypic relationships between dermatologic disorders. We envision that in the future it may be applied to the creation and mining of electronic health records, clinical training and basic research, as it supports automated inference and reasoning, and for the broader integration of skin disease information with that from other domains. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1186/s13326-016-0085-x | J. Biomedical Semantics |
Keywords | Field | DocType |
Dermatology,Dermatopathology,Disease,Ontology | Ontology (information science),Data science,Data mining,Ontology,Disease,Computer science | Journal |
Volume | Issue | ISSN |
7 | 1 | 2041-1480 |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hannah M. Fisher | 1 | 0 | 0.34 |
| Robert Hoehndorf | 2 | 667 | 53.18 |
| Bruno S. Bazelato | 3 | 0 | 0.34 |
| Soheil S. Dadras | 4 | 0 | 0.34 |
| Lloyd E. King | 5 | 0 | 0.34 |
| Georgios V. Gkoutos | 6 | 399 | 36.73 |
| John P. Sundberg | 7 | 27 | 5.51 |
| Paul N. Schofield | 8 | 319 | 25.71 |