Case-based reasoning
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
On Comparing Classifiers: Pitfalls toAvoid and a Recommended Approach
Data Mining and Knowledge Discovery
Case-Based Reasoning Technology, From Foundations to Applications
Case-Based Reasoning Technology, From Foundations to Applications
Inductive Learning for Case-Based Diagnosis with Multiple Faults
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Learning Adaptation Rules from a Case-Base
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
Learning adaptation knowledge to improve case-based reasoning
Artificial Intelligence
Integrating data mining with case-based reasoning for chronic diseases prognosis and diagnosis
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
ESTDD: Expert system for thyroid diseases diagnosis
Expert Systems with Applications: An International Journal
Case-Based Decision Support for Patients with Type 1 Diabetes on Insulin Pump Therapy
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
A comparative study on thyroid disease diagnosis using neural networks
Expert Systems with Applications: An International Journal
Business Aviation Decision-Making Using Rough Sets
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Adaptation rule learning for case-based reasoning
Concurrency and Computation: Practice & Experience - Web 2.0, Semantics, Knowledge and Grid
Expert Systems with Applications: An International Journal
Guest Editorial: Advances in case-based reasoning in the health sciences
Artificial Intelligence in Medicine
Review: Hybrid expert systems: A survey of current approaches and applications
Expert Systems with Applications: An International Journal
A Three-Stage Expert System Based on Support Vector Machines for Thyroid Disease Diagnosis
Journal of Medical Systems
Case-Based Reasoning Systems in the Health Sciences: A Survey of Recent Trends and Developments
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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Case-Based Reasoning (CBR) has been applied in many different medical applications. Due to the complexities and the diversities of this domain, most medical CBR systems become hybrid. Besides, the case adaptation process in CBR is often a challenging issue as it is traditionally carried out manually by domain experts. In this paper, a new hybrid case-based reasoning approach for medical diagnosis systems is proposed to improve the accuracy of the retrieval-only CBR systems. The approach integrates case-based reasoning and rule-based reasoning, and also applies the adaptation process automatically by exploiting adaptation rules. Both adaptation rules and reasoning rules are generated from the case-base. After solving a new case, the case-base is expanded, and both adaptation and reasoning rules are updated. To evaluate the proposed approach, a prototype was implemented and experimented to diagnose breast cancer and thyroid diseases. The final results show that the proposed approach increases the diagnosing accuracy of the retrieval-only CBR systems, and provides a reliable accuracy comparing to the current breast cancer and thyroid diagnosis systems.