C4.5: programs for machine learning
C4.5: programs for machine learning
Inside Case-Based Reasoning
Soft Computing and Fuzzy Logic
IEEE Software
Intelligent Systems and Soft Computing: Prospects, Tools and Applications
Developing Industrial Case-Based Reasoning Applications: The Inreca Methodology (Lecture Notes in Computer Science, 1612.)
Foundations of Soft Case-Based Reasoning
Foundations of Soft Case-Based Reasoning
Case-Based Approximate Reasoning (Theory and Decision Library B)
Case-Based Approximate Reasoning (Theory and Decision Library B)
A connectionist fuzzy case-based reasoning model
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Extending a hybrid CBR-ANN model by modeling predictive attributes using fuzzy sets
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
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We present an automatic system for the prediction of mortality risk in pediatric patients, which uses Soft Computing techniques instead of traditional ones based on score. The hybrid model applied combines both Case-Based Reasoning and Artificial Neural Networks with fuzzy set theory, taking its applications the advantages of these approaches. While the new way of prediction, named SAPRIM (Automated Predictor System of Infant Mortality Risk), was automatically defined from domain examples reducing the knowledge engineering effort, the experimental results using cross validation showed good accuracy with respect to other traditional classifiers. Besides, SAPRIM allows a more natural framework to include expert knowledge by using linguistic terms. After this automatic system was exploited by human experts for a year, the field evaluation corroborates good results.