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Data Mining and Liver Fibrosis by Ahmed Hashem (Paperback, 2012)
Rarewaves Outlet (1375865)
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About this product
Product Information
Predicting significant fibrosis or cirrhosis in patients with hepatitis C virus has persistently preoccupied the research agenda of many specialized research centers. Many studies have been conducted to evaluate the use of readily available laboratory tests to predict significant fibrosis or cirrhosis with the purpose to substantially reduce the number of biopsies performed. Although many of them reported significant predictive values of several serum markers for the diagnosis of cirrhosis, none of these diagnostic techniques was successful in accurately predicting early stages of liver fibrosis. Therefore, in this study a single stage classification model and a multistage stepwise classification model based on Neural Network, Decision Tree, Logistic Regression, and Nearest Neighborhood clustering, have been developed to predict individual's liver fibrosis degree. Results showed that the area under the receiver operator curve (AUROC) values of the multistage model ranged from 0.874 to 0.974 which is a higher range than what is reported in current researches with similar conditions.Product Identifiers
PublisherLap Lambert Academic Publishing
ISBN-139783659141041
eBay Product ID (ePID)138790334
Product Key Features
Number of Pages272 Pages
Publication NameData Mining and Liver Fibrosis
LanguageEnglish
SubjectEngineering & Technology
Publication Year2012
TypeTextbook
AuthorAhmed Hashem
FormatPaperback
Dimensions
Item Height229 mm
Item Weight404 g
Item Width152 mm
Additional Product Features
Country/Region of ManufactureGermany
Title_AuthorAhmed Hashem
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