Name
Abstract | ||
|---|---|---|
This paper relates our experience in developing a mechanism for reasoning about thedifferential diagnosis of cases involving the symptoms of heart failure using a causal modelof the cardiovascular hemodynamics with probabilities relating cause to effect. Since theproblem requires the determination of causal mechanism as well as primary cause, the modelhas many intermediate nodes as well as causal circularities requiring a heuristic approachto evaluating probabilities. The method we have... |
Year | DOI | Venue |
|---|---|---|
1989 | 10.1080/08839518908949932 | Applied Artificial Intelligence |
Keywords | Field | DocType |
medical diagnosis | Heuristic,Computer science,Artificial intelligence,Probabilistic logic,Machine learning,Medical diagnosis,Causal model | Journal |
Volume | Issue | Citations |
3 | 2-3 | 20 |
PageRank | References | Authors |
2.67 | 1 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| William J. Long | 1 | 218 | 27.94 |