| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10320741 | Artificial Intelligence in Medicine | 2005 | 22 Pages |
Abstract
The implemented architecture proves the feasibility of the distributed integration of medical knowledge sources with clinical data of heterogeneous sources. The results suggest that the proposed IDAN modular architecture has potential significance for supporting the automation of clinical tasks such as diagnosis, monitoring, therapy, and quality assessment.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
David Boaz, Yuval Shahar,