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Fuzzy Logic-Based system for Liver Fibrosis Disease

Computer systems Science & Engineering 2023年第9期46卷 3559-3582页

作者： Tamim Alkhalifah Jimmy Singla Fahad Alurise Department of Computer College of Science and Arts in Ar RassQassim UniversityAr RassQassim52571Saudi Arabia Department of Computer Science and Engineering Lovely Professional UniversityPhagwara 144001India

The diagnosis of liver fibrosis(LF)is crucial as it is a deadly and life-threatening *** intelligence techniques aid doctors by using the previous data on health and making a diagnostic system,which helps to take decisions about patients’health as experts *** historical data of a patient’s health can have vagueness,inaccurate,and can also have missing *** fuzzy logic theory can deal with these issues in the *** this paper,a multilayer fuzzy expert system is developed to diagnose *** model is created by using multiple layers of the fuzzy logic *** system aids in classifying the health of patients into different *** proposed method has two layers,i.e.,layer 1 and layer *** input variables used in layer 1 for diagnosing liver fibrosis are Appetite,Jaundice,Ascites,Age,and ***,in layer 2,the input variables are Platelet count,White blood cell count,spleen,SGPT ALT(Serum Glutamic Pyruvic Transaminase Alanine Aminotransferase),SGOT ALT(Serum Glutamicoxalacetic Transaminase Alanine Aminotransferase),Serum bilirubin,and Serum *** output variables for this developed system are no damage,minimal damage,significant damage,severe damage,and *** research work also presents the examination of results based on performance *** proposed system achieves a classification accuracy of 95%.Moreover,other performance parameters such as sensitivity,specificity,and precision are calculated as 97.14%,92%,and 94.44%,respectively.

关键词： Artificial intelligence fuzzy expert system liver fibrosis multilayer inference system a medical diagnostic system

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