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A Neural Network Approach to Predict Acute Allograft Rejection in Liver Transplant Recipients Using Routine Laboratory Data
Author(s) -
Abdolhossein Zare,
Mohammad Zare,
Neda Zarei,
Reza Yaghoobi,
Mohammad Zare,
Saeede Salehi,
Bita Geramizadeh,
S.A. Malek-Hosseini,
Negar Azarpira
Publication year - 2017
Publication title -
hepatitis monthly
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 37
eISSN - 1735-3408
pISSN - 1735-143X
DOI - 10.5812/hepatmon.55092
Subject(s) - medicine , liver transplantation , receiver operating characteristic , artificial neural network , logistic regression , transplantation , alanine aminotransferase , liver function tests , data set , machine learning , artificial intelligence , computer science

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