MEDICAL DIAGNOSIS USING A PROBABILISTIC CAUSAL NETWORK
- 1 January 1989
- journal article
- Published by Taylor & Francis in Applied Artificial Intelligence
- Vol. 3 (2-3) , 367-383
- https://doi.org/10.1080/08839518908949932
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...Keywords
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