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pubmed-article:17054412pubmed:abstractTextInterferon taken alone or in combination with ribavirin can be used for the treatment of persons with chronic hepatitis C. It is highly desirable, both clinically and economically, to establish tools to distinguish responders from nonresponders and to predict possible outcomes of the treatments. In this work, our goal is to develop a prediction model resulting from the analysis of chronic hepatitis C patients' single nucleotide polymorphisms, viral genotype, viral load, age and gender, to predict the responsiveness of interferon combination treatment.lld:pubmed
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pubmed-article:17054412pubmed:articleTitleAn artificial neural network approach to the drug efficacy of interferon treatments.lld:pubmed
pubmed-article:17054412pubmed:affiliationVita Genomics, Inc., 7 Fl., No. 6, Sec. 1, Jung-Shing Road, Wugu Shiang, Taipei, Taiwan. eugene.lin@vitagenomics.comlld:pubmed
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