Symbolic Representation of Neural Networks
Computer - Special issue: neural computing: companion issue to Spring 1996 IEEE Computational Science & Engineering
An interactive-graphic environment for automatic generation of decision trees
Decision Support Systems
Data mining for customer service support
Information and Management
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
SSVM: A Smooth Support Vector Machine for Classification
Computational Optimization and Applications
Artificial Neural Networks in Biomedicine
Artificial Neural Networks in Biomedicine
Maintaining Case-Based Reasoning Systems Using Fuzzy Decision Trees
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
Rule-Based Labeling of CT Head Image
AIME '97 Proceedings of the 6th Conference on Artificial Intelligence in Medicine in Europe
A new hybrid case-based architecture for medical diagnosis
Information Sciences—Informatics and Computer Science: An International Journal
Financial distress prediction based on OR-CBR in the principle of k-nearest neighbors
Expert Systems with Applications: An International Journal
Global optimization of case-based reasoning for breast cytology diagnosis
Expert Systems with Applications: An International Journal
Improved use of continuous attributes in C4.5
Journal of Artificial Intelligence Research
Expert Systems with Applications: An International Journal
An analysis of Bayesian classifiers
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Evolutionary design of a fuzzy classifier from data
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Fuzzy Systems
Machine learning for medical diagnosis: history, state of the art and perspective
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
IEEE Transactions on Neural Networks
The methodology of Dynamic Uncertain Causality Graph for intelligent diagnosis of vertigo
Computer Methods and Programs in Biomedicine
Supervised hybrid feature selection based on PSO and rough sets for medical diagnosis
Computer Methods and Programs in Biomedicine
A threshold fuzzy entropy based feature selection for medical database classification
Computers in Biology and Medicine
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In this research, a hybrid model is developed by integrating a case-based reasoning approach and a particle swarm optimization model for medical data classification. Two data sets from UCI Machine Learning Repository, i.e., Liver Disorders Data Set and Breast Cancer Wisconsin (Diagnosis), are employed for benchmark test. Initially a case-based reasoning method is applied to preprocess the data set thus a weight vector for each feature is derived. A particle swarm optimization model is then applied to construct a decision-making system for diseases identified. The PSO algorithm starts by partitioning the data set into a relatively large number of clusters to reduce the effects of initial conditions and then reducing the number of clusters into two. The average forecasting accuracy for breast cancer of CBRPSO model is 97.4% and for liver disorders is 76.8%. The proposed case-based particle swarm optimization model is able to produce more accurate and comprehensible results for medical experts in medical diagnosis.