Predicting Susceptibility to Chronic Hepatitis using Single Nucleotide Polymorphism Data and Support Vector Machine

摘要

SVM (Support Vector Machine) is used to predict the susceptibility to Chronic Hepatitis from SNP (single nucleotide polymorphism) data. SVM is trained to predict the susceptibility using SNPs. SVM is able to distinguish Hepatitis between normal and Chronic Hepatitis with an accuracy of 75.61% which are much better than random guessing. With more SNPs and other features, SVM prediction using SNP data can be a potential tool for predicting susceptibility to Chronic Hepatitis.