Data Mining and Machine Learning Algorithms Using IL28B Genotype and Biochemical Markers Best Predicted Advanced Liver Fibrosis in Chronic Hepatitis C.

doi:10.7883/yoken.JJID.2017.089

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Article

Data Mining and Machine Learning Algorithms Using IL28B Genotype and Biochemical Markers Best Predicted Advanced Liver Fibrosis in Chronic Hepatitis C.

Japanese journal of infectious diseases - 23 Jan 2018

Shousha Hend Ibrahim, Awad Abubakr Hussein, Omran Dalia Abdelhamid, Elnegouly Mayada Mohamed, Mabrouk Mahasen

Abstract excerpt

IL28B single nucleotide polymorphism (rs12979860) is an etiology-independent predictor of hepatitis C virus (HCV)-related hepatic fibrosis. Data mining is a method of predictive analysis which can explore tremendous volumes of information from health records to discover hidden patterns and relationships. The current study aims to evaluate and compare the prediction accuracy of scoring system like aspartate...

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PMID: 29279441
DOI: 10.7883/yoken.JJID.2017.089

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