Journal of Health & Medical Informatics

Vinod Chandra SS

Publications

• Research Article
  Artificial Neural Networks in Prediction of Patient Survival after Liver Transplantation
  Author(s): Raji CG and Vinod Chandra SSRaji CG and Vinod Chandra SS
  
  Abstract The use of computer based learning models in medical domain has become a significant area of research. Organ transplantation is one of the main areas where prognosis models are being used for predicting the survival of patients. Post transplantation mortality rate is reduced if there exists an intelligent system that can pick out the correct donorrecipients pairs from a pool of donor and recipient data. In this paper, we propose a survival prediction model to define three month mortality of patients after liver transplantation. We used an Artificial Neural Network model for the survival rate of liver transplantation. The data for the study was gathered from United Network for Organ Sharing transplant registry. The main objective of the study is to develop a model for short-term survival prediction of liver patients. With 10-fold cross validation we were divided the whole data.. Read More»
  DOI: 10.4172/2157-7420.1000215

  Abstract PDF