| Identification of a support vector machine-based biomarker panel with high sensitivity and specificity for nonalcoholic steatohepatitis. | |
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MedLine Citation:
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PMID: 22985537 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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BACKGROUND: Although liver biopsy remains the best diagnostic standard for nonalcoholic steatohepatitis (NASH), non-invasive tests are eagerly awaited. In this study, we sought to develop a support vector machine (SVM) algorithm to discriminate with high accuracy between subjects with NASH and controls using a blood-based biomarker panel. METHODS: A total of 17 biomarkers were measured by commercially available enzyme-linked immunosorbent assays in 136 serum samples from patients with biopsy-proven NASH (n=60) and subjects with normal ALT and no evidence of fatty liver on ultrasound (n=76). The database was randomly divided (1:1 fashion) into a discovery set for classification training and in a validation set of the chosen biomarkers in blinded samples. Multivariate analysis was performed by means of SVM. RESULTS: After the identification of a group of three most discriminative biomarkers (osteoprotegerin, fibroblast growth factor 21, and M30) in the discovery set, the application of SVM to the validation test resulted in a 92.5% sensitivity and 84.1% specificity for distinguishing subjects with NASH from controls. CONCLUSIONS: A targeted biomarker profiling combined with a SVM-based pattern identification approach may allow the identification of patients with NASH with clinically relevant accuracy and validity. |
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Authors:
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Yusuf Yilmaz; Fatih Eren |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-8-17 |
Journal Detail:
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Title: Clinica chimica acta; international journal of clinical chemistry Volume: - ISSN: 1873-3492 ISO Abbreviation: Clin. Chim. Acta Publication Date: 2012 Aug |
Date Detail:
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Created Date: 2012-9-18 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 1302422 Medline TA: Clin Chim Acta Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2012. Published by Elsevier B.V. |
Affiliation:
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Department of Gastroenterology, Marmara University School of Medicine, Istanbul, Turkey; Institute of Gastroenterology, Marmara University, Istanbul, Turkey. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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