【摘 要】
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Background Nonalcoholic fattyliver disease (NAFLD) isoneofthe most common chronic liver diseases worldwide.Recent attention focuses on screening and prediction of NAFLD.Machine learning techniques are
【机 构】
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Department of Gastroenterology, the First Affiliated Hospital, College Of Medicine, Zhejiang Univers
【出 处】
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The 14th Congress of Gastroenterology China(第十四届全国消化系病学术会议)
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Background Nonalcoholic fattyliver disease (NAFLD) isoneofthe most common chronic liver diseases worldwide.Recent attention focuses on screening and prediction of NAFLD.Machine learning techniques are powerful and promising tools.Methods A cross-sectional study was performed among 10,508 subjects who attended their annual health examination in the first affiliated hospital, College of Medicine, Zhejiang University, China in 2010.The questionnaires, Physical examinations, laboratory tests and liver ultrasonography were performed.20 features (e.g., age,laboratory results) were extracted.
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