Name
Abstract | ||
|---|---|---|
Diagnostic knowledge is the basis of many non-Bayesian medical systems. To explore the advantages of their Bayesian counterparts, we need causal knowledge. This paper investigates how to mine causal knowledge from the diagnostic knowledge. Experiments indicate the proposed mining method works pretty well. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-88192-6_56 | ADMA |
Field | DocType | Volume |
Data science,Data mining,Aortic aneurysm,Computer science,Aortic dissection,Medical systems,Bayesian network,Artificial intelligence,Abdominal aortic aneurysm,Machine learning,Bayesian probability | Conference | 5139 |
ISSN | Citations | PageRank |
0302-9743 | 1 | 0.35 |
References | Authors | |
5 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiangdong An | 1 | 64 | 13.56 |
| Nick Cercone | 2 | 1999 | 570.62 |