Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble.

Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble.

Comprehensibility is very important when machine learning techniques are used in computer-aided medical diagnosis. Since an artificial neural network ensemble is composed of multiple artificial neural networks, its comprehensibility is worse than that of a single artificial neural network. In this p...

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Bibliographic Details
Published in:IEEE Transactions on information technology in biomedicine 7, 1 (2003).
Main Author: Zhi-Hua Zhou
Format: Article
Language:English
Subjects:
C4.5 Rule-PANE.
Artificial neural network ensemble.
Breast cancer.
Class labels.
Comprehensibility.
Computer-aided medical diagnosis.
Diabetes.
Feature vectors.
Generalization.
Hepatitis.
Machine learning.
Randomly generated feature vectors.
Rule induction.
Training data set.