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Medical Diagnosis with C4.5 Rule Preceded by Artificial Neural Network Ensemble (2003)  (Make Corrections)  
Z.-H. Zhou, Y. Jiang
IEEE Transactions on Information Technology in Biomedicine, 2003, 7(1): 37-42



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Abstract: Comprehensibility is very important for a machine learning technique to be 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 paper, C4.5 Rule-PANE which combines artificial neural network ensemble with rule induction by regarding the former as a pre-process of the latter, is proposed. At first, an artificial neural... (Update)

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BibTeX entry:   (Update)

@misc{ zhou-medical,
  author = "Z.-H. Zhou and Y. Jiang",
  title = "Medical Diagnosis with C4.5 Rule Preceded by Artificial Neural Network Ensemble",
  journal = "IEEE Transactions on Information Technology in Biomedicine, 2003, 7(1): 37-42",
  volume = "7",
  number = "1",
  pages = "37-42",
  year = "2003",
  url = "citeseer.ist.psu.edu/zhou03medical.html" }
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