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Pattern Recognition Methods in Biomedical Magnetic Resonance
生物医学核磁共振中的模式识别方法

Keywords: biomedical magnetic resonance,high-resolution nuclear magnetic resonance (HR-NMR),pattern recognition (PR),multivariate statistics,metabonomics
生物医学核磁共振
,液体高分辨核磁共振,模式识别,多元统计,代谢组学

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Abstract:

Pattern recognition (PR) is the technology of making a decision on a concrete object which category it belongs to PR can be used to solve many problems in understanding complex systems One of its applications is the comprehension and analysis of biomedical magnetic resonance spectroscopy data Previous studies using high-resolution liquid NMR spectroscopy have shown that the levels of metabolites in biological samples change with the time after pathological or other perturbation PR can be used not only to identify the differences of the pathological from the normal, but also to find which bio-fingerprints result in such differences, thus supplying valuable information for diagnosis In this review, various statistical PR methods used in biomedical magnetic resonance spectroscopy are discussed, and the latest progresses in this field are introduced

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