Name
Abstract | ||
|---|---|---|
A decision support system for the prognosis at 24 h of head-injured patients of the intensive care unit (ICU), based on Bayesian belief networks, is constructed by model selection methods applied to a database (637 cases) of seven clinical and laboratory variables. Its performance is compared to other systems, including a simpler belief network that assumes conditional independence among the findings, and a human expert. Results indicate that its performance is not significantly different than that of the neurosurgeon expert and better than the performance of the independence model. Thus, the prognostic judgment of non-neurosurgeon ICU clinicians can be aided by the use of this system. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1016/S0167-9236(99)00059-7 | Decision Support Systems |
Keywords | Field | DocType |
expert system,head injury,bayesian network,prognostic performance,icu,prognosis,decision support system,bayesian belief network,conditional independence,model selection,belief network | Data mining,Computer science,Conditional independence,Decision support system,Expert system,Model selection,Bayesian network,Artificial intelligence,Machine learning | Journal |
Volume | Issue | ISSN |
27 | 4 | Decision Support Systems |
Citations | PageRank | References |
8 | 0.73 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| George Sakellaropoulos | 1 | 13 | 2.80 |
| George Nikiforidis | 2 | 225 | 21.70 |