Abstract
We present the first evaluation results of a knowledge management and decision support system for Type I diabetes patients' care. Such system, meant to help physicians in therapy revision, relies on the integration of Rule Based Reasoning and Case Based Reasoning, and exploits both explicit and implicit knowledge. Reliability was positively judged by a group of expert diabetologists; an increase in its performances is foreseen as new knowledge will be acquired, through the system usage in clinical practice.
| Original language | English |
|---|---|
| Pages (from-to) | 585-589 |
| Number of pages | 5 |
| Journal | Proceedings / AMIA ... Annual Symposium. AMIA Symposium |
| Publication status | Published - 2000 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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