Predicting mortality in Hepatitis-C patients using an artificial neural network

  • O Owolabi
  • BB Baridam
Keywords: Artificial neural networks, disease diagnosis, prognosis, hepatitis-C, machine learning


We have developed an artificial neural network that is capable of predicting whether a patient suffering from the hepatitis-C virus is likely to live or die. With test data, the system achieved 70% accuracy in determining when a
patient would live and 60% accurate in determining when a patient would die. It is hoped that with further work, the accuracy of the system will be considerably improved.

Journal Identifiers

eISSN: 1118-0579