Artificial Neural Network for Predictingthe Success Rate beforeGraft Transplant

Abstract

The artificial learning models such as artificial neural network, radial basis function and art map have shown a promising application in the medical industry.The present work is acomparative analysis of the above mentioned.
The results of the investigation have indicated that among artificial neural network, radial basis function and art map the numeric values obtained fromartificial neural network werecomparativelybetter. Further, the analysis of the accuracy among the three selected algorithms was found98.9708%, 97.2556%, and 58.1475% respectively. According to literature survey performed, it is evident that most studies in this regard have received lesser attention, especially in India. Based on the findings it seems that artificial neural network could be the best mode topredict the graft survivals during liver transplantation.