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Pretreatment prediction of response to peginterferon plus ribavirin therapy in genotype 1 chronic hepatitis C using data mining analysis
Authors:Masayuki Kurosaki  Naoya Sakamoto  Manabu Iwasaki  Minoru Sakamoto  Yoshiyuki Suzuki  Naoki Hiramatsu  Fuminaka Sugauchi  Hiroshi Yatsuhashi  Namiki Izumi
Affiliation:(1) Division of Gastroenterology and Hepatology, Musashino Red Cross Hospital, 1-26-1 Kyonan-cho, Musashino Tokyo, 180-8610, Japan;(2) Department of Gastroenterology and Hepatology, Tokyo Medical and Dental University, Tokyo, Japan;(3) Department of Computer and Information Science, Seikei University, Tokyo, Japan;(4) First Department of Internal Medicine, University of Yamanashi, Yamanashi, Japan;(5) Department of Hepatology, Toranomon Hospital, Tokyo, Japan;(6) Department of Gastroenterology and Hepatology, Osaka University Graduate School of Medicine, Osaka, Japan;(7) Department of Gastroenterology and Metabolism, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan;(8) Clinical Research Center, National Nagasaki Medical Center, Nagasaki, Japan
Abstract:

Background  

This study aimed to develop a model for the pre-treatment prediction of sustained virological response (SVR) to peg-interferon plus ribavirin therapy in chronic hepatitis C.
Keywords:
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