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首页> 外文期刊>Journal of Chemometrics >Using OrPLS to identify asymptomatic women at risk for Alzheimer's disease
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Using OrPLS to identify asymptomatic women at risk for Alzheimer's disease

机译：使用OrPLS识别无症状的女性有患阿尔茨海默氏病的风险

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Persons at risk for Alzheimer's disease (AD) demonstrate altered cortical activation measured by functional MRI (f MRI) years before symptoms of disease are expected. We used fMRI to study the differences in cortical activation between 13 women with a family history of AD and at least one apolipoprotein E4 allele, a risk factor for AD, and a control group of 11 women lacking both factors. Our primary goal was to assess how well the two groups are able to be statistically separated, a task which directly affects the performance of post hoc classification. The dimension of the dataset, however, precludes the use of ordinary classification methods. In this paper we show the superiority of using Oriented Partial Least Squares (OrPLS) to accomplish the classification in the presence of this dimensionality problem. We are able to reduce the misclassification rates on the standardized fMRI data from an average of about 48% for PCA, to an average of 27% for PLS, and then to perfect classification for OrPLS.
机译：有阿尔茨海默氏病（AD）风险的人表现出在预期疾病症状出现数年之前通过功能性MRI（f MRI）测量的皮质激活发生改变。我们使用功能磁共振成像技术研究了13位有AD家族史的妇女和至少一个载脂蛋白E4等位基因（AD的危险因素）和11名缺乏这两种因素的对照组之间的皮层激活差异。我们的主要目标是评估两组在统计学上的分离程度，这项任务直接影响事后分类的性能。但是，数据集的维数排除了使用常规分类方法的可能性。在本文中，我们展示了在存在这种维数问题的情况下使用定向偏最小二乘（OrPLS）进行分类的优势。我们能够将标准化fMRI数据的错误分类率从PCA的平均约48％降低到PLS的平均27％，然后完善OrPLS的分类。

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