Name
Title | ||
|---|---|---|
A framework for defining and verifying clinical guidelines: a case study on cancer screening |
Abstract | ||
|---|---|---|
Medical guidelines are clinical behaviour recommendations used to help and support physicians in the definition of the most appropriate diagnosis and/or therapy within determinate clinical circumstances. Due to the intrinsic complexity of such guidelines, their application is not a trivial task; hence it is important to verify if health-care workers behave in a conform manner w.r.t. the intended model, and to evaluate how much their behaviour differs. In this paper we present the GPROVE framework that we are developing within a regional project to describe medical guidelines in a visual way and to automatically perform the conformance verification. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11875604_39 | ISMIS |
Keywords | Field | DocType |
gprove framework,determinate clinical circumstance,cancer screening,intended model,clinical guideline,manner w,clinical behaviour recommendation,medical guideline,case study,conformance verification,appropriate diagnosis,intrinsic complexity,health-care worker | Software engineering,Computer science,Medical guideline,Interaction protocol,Artificial intelligence,Cancer screening,Constraint logic programming,Machine learning | Conference |
Volume | ISSN | ISBN |
4203 | 0302-9743 | 3-540-45764-X |
Citations | PageRank | References |
6 | 0.63 | 6 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| federico chesani | 1 | 801 | 46.41 |
| Pietro De Matteis | 2 | 6 | 0.63 |
| Paola Mello | 3 | 444 | 21.33 |
| Marco Montali | 4 | 1280 | 99.36 |
| Sergio Storari | 5 | 300 | 18.30 |