Partial-order planning: evaluating possible efficiency gains
Artificial Intelligence
Case-based reasoning
Artificial Intelligence - Special volume on planning and scheduling
Integrating Case-Based Reasoning and Decision Theory
IEEE Expert: Intelligent Systems and Their Applications
Machine Learning
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
Case-Based Reasoning Technology, From Foundations to Applications
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Thalassaemia classification by neural networks and genetic programming
Information Sciences: an International Journal
Integrating data mining with case-based reasoning for chronic diseases prognosis and diagnosis
Expert Systems with Applications: An International Journal
Prediction-based diagnosis and loss prevention using qualitative multi-scale models
Information Sciences: an International Journal
Incremental development of CBR strategies for computing project cost probabilities
Advanced Engineering Informatics
A new restoration-based recommender system for shopping buddy smart carts
International Journal of Business Information Systems
An association-based case reduction technique for case-based reasoning
Information Sciences: an International Journal
Encoding fuzzy possibilistic diagnostics as a constrained optimization problem
Information Sciences: an International Journal
Modeling Reuse on Case-Based Reasoning with Application to Breast Cancer Diagnosis
AIMSA '08 Proceedings of the 13th international conference on Artificial Intelligence: Methodology, Systems, and Applications
Recognizing yield patterns through hybrid applications of machine learning techniques
Information Sciences: an International Journal
Knowledge and intelligent computing system in medicine
Computers in Biology and Medicine
Loss and gain functions for CBR retrieval
Information Sciences: an International Journal
Combinations of case-based reasoning with other intelligent methods
International Journal of Hybrid Intelligent Systems - CIMA-08
Hybrid model for learner modelling and feedback prioritisation in exploratory learning
International Journal of Hybrid Intelligent Systems - CIMA-08
A forecasting solution to the oil spill problem based on a hybrid intelligent system
Information Sciences: an International Journal
A hybrid diagnosis model for determining the types of the liver disease
Computers in Biology and Medicine
A narrative-based reasoning with applications in decision support for social service organizations
Expert Systems with Applications: An International Journal
A consumer interest prediction system from transaction behaviors in electronic commerce
AI*IA'05 Proceedings of the 9th conference on Advances in Artificial Intelligence
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Disease diagnosis using query-based neural networks
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
Redactable Signatures for Signed CDA Documents
Journal of Medical Systems
Journal of Intelligent Manufacturing
Computer Methods and Programs in Biomedicine
A Secure Integrated Medical Information System
Journal of Medical Systems
Review: Knowledge discovery in medicine: Current issue and future trend
Expert Systems with Applications: An International Journal
Developing a hybrid predictive system for retinopathy
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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This paper proposes a new hybrid case-based architecture, which supports multiple-disease diagnosis and the learning of new adaptation knowledge. The architecture combines case-based reasoning (CBR), neural networks, fuzzy theory, induction, utility theory, and knowledge-based planning technology together to facilitate medical diagnosis. The basic mechanism is that of CBR. A distributed fuzzy neural network is employed to perform approximate matching and thus to tolerate potential noise in case retrieval. The induction technology along with utility theory is used to select valuable features of the target case and prune unnecessary search space. Knowledge-based planning is a general-purpose mechanism for case adaptation. It creates a case adaptation plan from an adaptation tree, which contains all relevant problem features, satisfies all relevant constraints, and contains all cases whose expected utilities are greater than a threshold. Execution of the case adaptation plan leads to the diagnosis of multiple diseases. The adaptation tree facilitates the reuse of cases and the learning of various types of knowledge-including relationships between disease types and features, case-specific verification knowledge, and differential diagnosis rules. Integrating these techniques in the CBR paradigm can effectively produce a high-quality diagnosis for a given medical consultation.