Abstract
Several diagnostic decision support systems have been proposed. Yet, such systems are not commonly used partly due to insufficient temporal reasoning. We have developed a clinical problem-oriented diagnostic decision support model that employs temporal reasoning by using extended temporal database functionalities developed at our lab. In addition, our model supports the workflow of the diagnostic process and employs detailed clinical data. We developed a prototype system that implements the concepts of the model.
| Original language | English |
|---|---|
| Pages (from-to) | 936 |
| Number of pages | 1 |
| Journal | AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium |
| State | Published - 2005 |
| Externally published | Yes |
ASJC Scopus subject areas
- General Medicine