Name
Title | ||
|---|---|---|
Integration of quantitative and qualitative reasoning: an expert system for cardiosurgical patients. |
Abstract | ||
|---|---|---|
In this work the possibility of building an expert system to reason on the status of post-operative cardiac patients in intensive care units is analysed. The long-term knowledge consists of causal network which describes the main relationships between hemodynamic and metabolic quantities involved in the evolution after cardiac surgery. The inference engine uses an original hybrid formalism, which integrates numerical simulation and qualitative methods. If available, the numerical values of quantities and their exact mathematical relationships are employed; otherwise, the inference engine reasons by using a discrete qualitative representation of quantities. Simulations performed using real data indicate that integration of quantitative and qualitative methods reduces the number of diagnostic scenarios compatible with patient data, and constitutes a valid tool for reasoning about physiological disorders in terms of deep causal knowledge. |
Year | DOI | Venue |
|---|---|---|
1994 | 10.1016/0933-3657(94)90064-7 | Artificial Intelligence In Medicine |
Keywords | Field | DocType |
intensive care units,quantitative reasoning,causal networks,qualitative reasoning,expert system | Data mining,Computer science,Expert system,Model-based reasoning,Artificial intelligence,Inference engine,Formalism (philosophy),Qualitative research,Intensive care,Machine learning,Qualitative reasoning,Legal expert system | Journal |
Volume | Issue | ISSN |
6 | 3 | 0933-3657 |
Citations | PageRank | References |
2 | 0.50 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Ursino | 1 | 111 | 13.13 |
| E Artioli | 2 | 3 | 1.13 |
| G Avanzolini | 3 | 5 | 1.68 |
| V Potuto | 4 | 2 | 0.50 |