Case-based reasoning
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Integration Rules and Cases for the Classification Task
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
The Use of Exogenous Knowledge to Learn Bayesian Networks from Incomplete Databases
IDA '97 Proceedings of the Second International Symposium on Advances in Intelligent Data Analysis, Reasoning about Data
Case-Based Reasoning in CARE-PARTNER: Gathering Evidence for Evidence-Based Medical Practice
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Classify and Diagnose Individual Stress Using Calibration and Fuzzy Case-Based Reasoning
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Knowledge Representation in Difficult Medical Diagnosis
ICDM '09 Proceedings of the 9th Industrial Conference on Advances in Data Mining. Applications and Theoretical Aspects
A multi-module case-based biofeedback system for stress treatment
Artificial Intelligence in Medicine
Extending a hybrid CBR-ANN model by modeling predictive attributes using fuzzy sets
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
| Hi-index | 0.00 |
We propose a Multi Modal Reasoning (MMR) methodology designed to provide physicians with knowledge management and decision support functionality in the context of type 1 diabetes mellitus care. The MMR system performs a tight integration of Case Based Reasoning (CBR), Rule Based Reasoning (RBR) and Model Based Reasoning (MBR), with the aim of suggesting a therapy properly tailored to the patient's needs, overcoming the single approaches' limitations. This methodology allows the exploitation of the implicit knowledge embedded in patients' visits (past cases) and in monitoring data through Case Based retrieval. Moreover the explicit domain knowledge is formalized in a set of production rules and in a mathematical model. The system has been preliminary tested both on simulated and on real patients' data.