Clinical decision-support systems
Medical informatics: computer applications in health care
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Induction of Decision Trees and Bayesian Classification Applied to Diagnosis of Sport Injuries
CBMS'97 Proceedings of the 10th conference on Computer based medical systems
Retrieval in a Prototype-Based Case Library: A Case Study in Diabetes Therapy Revision
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Integrating Rule-Based and Case-Based Decision Making in Diabetic Patient Management
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
Selecting Most Adaptable Diagnostic Solutions through Pivoting-Based Retrieval
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Temporal Abstractions for Diabetic Patients Management
AIME '97 Proceedings of the 6th Conference on Artificial Intelligence in Medicine in Europe
Improved heterogeneous distance functions
Journal of Artificial Intelligence Research
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In the context of Insulin Dependent Diabetes Mellitus care, we developed a decision support system that relies on a tight integration of Case Based Reasoning and Rule Based Reasoning methodologies. In this paper, we aim at presenting the evaluation strategy we have defined to test the system accuracy, safety and reliability, and the first results obtained both on simulated and on real patients data. Reliability was positively judged by a group of expert diabetologists; an increase in the performances of the system is foreseen as new knowledge will be acquired, through its usage in clinical practice.