Download PDFOpen PDF in browserDonor-Recipient for Liver Transplantation Using CNN and LSTM Deep Learning TechniquesEasyChair Preprint 49235 pages•Date: January 22, 2021AbstractObjective: Prediction of the survival of liver transplantation has been an potential role in understanding and improving the matching procedure between the recipient and graft. The allocation of organs in liver transplantation is a problem that can be resolved using deep learning techniques. The methods of allocation which included the assignment of an organ to the first patient on the waiting list without taking the characteristics of the donor and characteristics of the recipient and transplant organ were used to determine graft survival. UCI Repository data set has been used which consists of male and female liver patient records. Keyphrases: CNN, LSTM, deep learning, liver transplant
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