Liver Transplant Lifespan Prediction System |
Author(s): |
| Namrata Bajbalkar , Dr.D.Y Patil Institute of Technology; Derrick Dsouza, Dr.D.Y Patil Institute of Technology; Jai Gupta, Dr.D.Y Patil Institute of Technology; Kumar Mangalam, Dr.D.Y Patil Institute of Technology |
Keywords: |
| Convolution Neural Network, FCM Clustering, Bayesian Probability, Naive Bayesian Classification, Survival Prediction, Survival Probability |
Abstract |
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Due to the increase of Technology in Medical science there is a significant growth is seeing in organ transplantation. Most of the time's receiver's lifespan can be predicted based on his /her health conditions. But this may not be true in case of Liver transplantation, this is mainly due to the complicated working structure of the liver and its unexplainable importance in the functioning of human body. More often the predicted lifespan of the liver transplant receiver ends quite early. So data mining can be a boon to predict the accurate lifespan of the receiver. So propose model uses hidden Markov model as a learning process which is powered by fuzzy-logic reasoning. |
Other Details |
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Paper ID: IJSRDV5I110282 Published in: Volume : 5, Issue : 11 Publication Date: 01/02/2018 Page(s): 610-611 |
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