Abstract
The goal of the KMR-II project is the creation of a unified architecture for a knowledge intensive patient healthcare management. Using a combination of knowledge integration techniques, it provides a framework for the interaction between patients, providers and managers. At the same time, is provides intelligent clinical decision support and automates management procedures. In this paper, we introduce some of the architectural aspects and show how it allows to manage a simple use case, where a predictive model is used to notify both a patient and their provider that there is a high probability that the patient will develop some disease in the future.
Original language | English (US) |
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Pages (from-to) | 79-86 |
Number of pages | 8 |
Journal | CEUR Workshop Proceedings |
Volume | 799 |
State | Published - Jan 1 2011 |
Externally published | Yes |
Event | 5th International Symposium on Rules, RuleML 2011@BRF Challenge - Co-located with the 5th International Rule Symposium - Fort Lauderdale, FL, United States Duration: Nov 3 2011 → Nov 5 2011 |
ASJC Scopus subject areas
- Computer Science(all)