Abstract
We propose a decision support tool based on the Case Based Reasoning technique, meant to help physicians in the retrieval of past similar cases, able to provide a suggestion about the revision of diabetic patients' therapy scheme. A case is defined as a set of features collected during a visit. A taxonomy of prototypical situ-ations, or classes, has been formalized; a set of cases belonging to these classes has been stored into a relational data-base. For each in-put case, the system allows the physician find similar situations that already took place in the past, both for the same patient and for dif-ferent ones. The reasoning process consists of two steps: 1) finding the classes to which the input case could belong; 2) finding the most similar cases from these classes, through a nearest neighbor tech-nique. The tool is integrated in the EU funded T-IDDM (Telematic management of Insulin Dependent Diabetes Mellitus) project.
Lingua originale | Inglese |
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Stato di pubblicazione | Pubblicato - 1 gen 1998 |
Evento | Proceedings of the Third International Conference on Neural Networks and Expert Systems in Medicine / Data Analysis in Medicine and Pharmacology (IDAMAP 98) ??? - Brighton Durata: 1 gen 1998 → … |
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???event.eventtypes.event.conference??? | Proceedings of the Third International Conference on Neural Networks and Expert Systems in Medicine / Data Analysis in Medicine and Pharmacology (IDAMAP 98) ??? |
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Città | Brighton |
Periodo | 1/01/98 → … |
Keywords
- Case-Based Reasoning
- Medical Informatics