A hybrid Model to Estimate Cirrhosis Using Laboratory Testsand Multilayer Perceptron (MLP) Neural Networks
Journal Title: IOSR Journal of Nursing and health Science - Year 2019, Vol 7, Issue 1
Abstract
Hepatitis C virus (HCV) infection and its complications are one of the most leading health challenges over the world. Where it causes tissue damage, causing cirrhosis of the liver gradually. Liver biopsy and Fibro-scan are the standard methods to measure fibrosis before treatment. however, those methods have its own limitations, risks and cost. Liver fibrosis has been determined using routine laboratory tests. The laboratory tests are Alanine Aminotransferase (ALT), aspartate aminotransferase (AST), platelet count (PLT), Total Bilirubin(TB), Direct Bilirubin (DB), Total Proteins (TP) and Albumin (ALB). The aim of this paper, estimate cirrhosis using laboratory tests and multilayer perceptron (MLP) neural networks. Research applied on 582 liver patient in Egypt. Testing phase is comparison between Fibro-index results and Neural Network result. Visual studio 2015 C# and SQL-Server are used to develop a windows application. General Terms Liver disease
Authors and Affiliations
Tamer Sh. Mazen
Keywords
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- EP ID EP435256
- DOI 10.9790/1959-0701053238.
- Views 191
- Downloads 0
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