Name
Abstract | ||
|---|---|---|
Per our evaluation results, our approach was able to enrich existing rare disease knowledge resources with phenotype-disease associations from EMR and thus support rare disease differential diagnosis. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1186/s12911-019-0752-9 | BMC medical informatics and decision making |
Keywords | Field | DocType |
Data-driven approach,Differential diagnosis,Knowledge enrichment,Rare disease | Data mining,Rare disease,Data-driven,Information retrieval,Association rule learning,Encyclopedia,Knowledge base,Health informatics,Medicine,Human Phenotype Ontology,Differential diagnosis | Journal |
Volume | Issue | ISSN |
19 | 1 | 1472-6947 |
Citations | PageRank | References |
2 | 0.45 | 17 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Feichen Shen | 1 | 123 | 22.60 |
| Yiqing Zhao | 2 | 4 | 0.82 |
| Liwei Wang | 3 | 63 | 10.92 |
| Majid Rastegar-Mojarad | 4 | 96 | 17.23 |
| Yanshan Wang | 5 | 47 | 19.00 |
| Sijia Liu | 6 | 60 | 8.06 |
| Hongfang Liu | 7 | 1479 | 160.66 |