Predictors of Death in the Liver Transplantation Adult Candidates: An Artificial Neural Networks and Support Vector Machine Hybrid-Based Cohort Study

Predictors of Death in the Liver Transplantation Adult Candidates: An Artificial Neural Networks and Support Vector Machine Hybrid-Based Cohort Study

Background: Model for end-stage liver disease (MELD) is currently used for liver transplantation (LT) allocation, however, it is not a sufficient criterion. Objective: This current study aims to perform a hybrid neural network analysis of different data, make a decision tree and finally design a dec...

Full description

Bibliographic Details
Main Authors: Kamran Bagheri Lankarani, Behnam Honarvar, Farshad Shafi pour, Morteza Bagherpour, Asma Erjaee, Mohammad Reza Rouhezamin, Mojdeh Khorrami, Saeid Amiri Zadeh Fard, Vahid Seifi, Bita Geramizadeh, Heshmatollah Salahi, Saman Nikeghbalian, Alireza Shamsaeefar, Seyed Ali Malek-hosseini, Saeedreza Shirzadi
Format: Article
Language:English
Published: Shiraz University of Medical Sciences 2022-12-01
Series:Journal of Biomedical Physics and Engineering
Subjects:
prioritization
allocation
artificial neural network
decision trees
meld-na
liver transplantation
neural network computers
Online Access:https://jbpe.sums.ac.ir/article_47494_be6230ea0dd078a5620b1eaa5d1b78e0.pdf

Internet

https://jbpe.sums.ac.ir/article_47494_be6230ea0dd078a5620b1eaa5d1b78e0.pdf

Similar Items