Name
Abstract | ||
|---|---|---|
The transformation of a document-based medical guideline into a computer-based decision support is a time-consuming and error-prone activity. One way to alleviate this burden is by automating as much as possible the knowledge intensive tasks within the life cycle of medical guidelines. This paper presents a test-bed simulation framework that aims to take advantages of both CommonKADS methodology and Semantic Web technologies (OWL, SWRL, and OWL-S) to support automatic reasoning of knowledge-intensive tasks within guidelines. Based on the experiments conducted so far, the major benefit of the test-bed simulation is to enable experiments (simulations of clinical situations) that allow overcoming the main barriers to successfully express medical guidelines in an executable form compatible with Electronic Healthcare Records. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/EMS.2008.21 | EMS |
Keywords | Field | DocType |
owl s,world wide web,cognition,test bed,owl,computational modeling,health care,life cycle,ontologies,knowledge engineering,decision support,semantic web | Ontology (information science),Software engineering,Computer science,Decision support system,Knowledge management,Semantic Web,Medical guideline,OWL-S,Knowledge engineering,Cognition,Executable | Conference |
Citations | PageRank | References |
3 | 0.44 | 12 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mercedes Argüello Casteleiro | 1 | 54 | 6.64 |
| Julio Des | 2 | 27 | 3.50 |
| Maria Jesus Fernandez Prieto | 3 | 28 | 5.55 |
| Rogelio Perez | 4 | 24 | 1.41 |
| Hilary Paniagua | 5 | 26 | 2.12 |