Artificial Neural Networks for Diagnosis of Hepatitis Disease

نویسندگان

  • Lale OZYILMAZ
  • Tulay YILDIRIM
چکیده

Recently, neural networks have become a very important method in the field of medical diagnostic. The objective of this work is to diagnose hepatitis disease by using different neural network architectures. Standard feedforward networks and a hybrid network were investigated. Results obtained show that especially the hybrid network can be successfully used for diagnosing of hepatitis.

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تاریخ انتشار 2003