Knowledge Discovery in Databases
Knowledge Discovery in Databases
Integrating Hybrid Rule-Based with Case-Based Reasoning
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
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
Combining case-based and model-based reasoning: a formal specification
APSEC '00 Proceedings of the Seventh Asia-Pacific Software Engineering Conference
Data Mining for Case-Based Reasoning in High-Dimensional Biological Domains
IEEE Transactions on Knowledge and Data Engineering
Maximum likelihood hebbian learning based Retrieval method for CBR systems
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
ISOR: an expert-system for investigations of therapy inefficacy
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Artificial Intelligence in Medicine
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In medicine many exceptions occur. In medical studies and in research, exceptions shall be explained. We present a system that helps to explain cases that do not fit into a theoretical hypothesis. Our starting points are situations where neither a well-developed theory nor reliable knowledge nor a proper case base is available. Instead just some theoretical hypothesis and a set of measurements are given. In this paper, we propose to combine Case-Based Reasoning with a statistical model. We use Case-Based Reasoning to explain those cases that do not fit the model.