Abductive inference models for diagnostic problem-solving
Abductive inference models for diagnostic problem-solving
HYDI: a hybrid system with feedback for diagnosing multiple disorders
HYDI: a hybrid system with feedback for diagnosing multiple disorders
Inductive learning for abductive diagnosis
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Inductive Learning for Case-Based Diagnosis with Multiple Faults
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Case-Based Reasoning Technology, From Foundations to Applications
Techniques and Knowledge Used for Adaptation During Case-Based Problem Solving
IEA/AIE '98 Proceedings of the 11th International Conference on Industrial and Engineering Applications of Artificial In telligence and Expert Systems: Tasks and Methods in Applied Artificial Intelligence
Extension of the HEPAR II Model to Multiple-Disorder Diagnosis
Proceedings of the IIS'2000 Symposium on Intelligent Information Systems
Improved heterogeneous distance functions
Journal of Artificial Intelligence Research
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Although Case-based Reasoning has been applied successfully in medical domains, case-based diagnosis handling multiple disorders is often not sufficient while multiple disorders is a daily problem in medical diagnosis and treatment. In this paper, we present an approach which integrates two case-based reasoners for diagnosing multiple faults. This multiple case-based reasoning approach has been evaluated on a medical case base taken from real world application and demonstrated to be very promising.