Publisher: Bachudo Science Co. Ltd

Predicting Mortality In Hepatitis-C Patients Using An Artificial Neural Network

Olumide Owolabi, Barileé B. Baridam
KEYWORDS: Artificial neural networks, disease diagnosis, prognosis, hepatitis-C, machine learning.

ABSTRACT:

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.   


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