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Akademický článek

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

Autor: 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

Publikováno v: Journal of Biomedical Physics and Engineering, Vol 12, Iss 6, Pp 591-598 (2022)

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 d

Externí odkaz: https://doaj.org/article/eea0b8a2aa2f41ff9baa3c8534b9e421

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

Autor: 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

Publikováno v: Journal of biomedical physicsengineering. 12(6)

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::054971c030f8952e09ab100cc52d0b63
https://pubmed.ncbi.nlm.nih.gov/36569570

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