Name
Abstract | ||
|---|---|---|
The market for health care systems supporting physicians and improving their daily routine is dynamically growing. The development of these systems makes great demands on the handling of medical knowledge, like anatomical and process knowledge. In this paper, a special approach for the radiological domain is presented. Our framework includes mechanisms to store medical knowledge in different knowledge containers, whose importance varies from application to application, and to support the execution of the processes. Three applications are introduced by way of example. We analyze these application scenarios to find the knowledge-intensive tasks that can be supported by an assistant system. The implemented solutions are integrated in the daily work of our radiological partner hospitals. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/CBMS.2002.1011374 | Computer-Based Medical Systems, 2002. |
Keywords | Field | DocType |
deductive databases,health care,medical expert systems,medical information systems,radiology,anatomical knowledge,application scenarios,health care systems,knowledge containers,knowledge-intensive tasks,medical knowledge handling,medical knowledge storage,process execution support,process knowledge,radiological assistant systems framework,radiological partner hospitals | Health care,Data mining,Computer science,Knowledge management,Medical knowledge,Radiological weapon | Conference |
ISSN | ISBN | Citations |
1063-7125 | 0-7695-1614-9 | 4 |
PageRank | References | Authors |
0.85 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dirk Krechel | 1 | 44 | 13.19 |
| Ralph Bergmann | 2 | 4 | 0.85 |
| Kerstin Maximini | 3 | 61 | 7.09 |
| von Wangenheim, A. | 4 | 24 | 5.14 |