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首页> 外文会议>IEEE International Conference on Cognitive Infocommunications >Automatic detection of linguistic indicators as a means of early detection of Alzheimer's disease and of related dementias: A computational linguistics analysis
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Automatic detection of linguistic indicators as a means of early detection of Alzheimer's disease and of related dementias: A computational linguistics analysis

机译：语言指标的自动检测，作为及早发现阿尔茨海默氏病和相关痴呆症的一种手段：一种计算语言学分析

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摘要

In the present study, we analyzed written samples obtained from Greek native speakers diagnosed with Alzheimer's in mild and moderate stages and from age-matched cognitively normal controls (NC). We adopted a computational approach for the comparison of morpho-syntactic complexity and lexical variety in the samples. We used text classification approaches to assign the samples to one of the two groups. The classifiers were tested using various features: morpho-syntactic and lexical characteristics. The proposed method excels in discerning AD patients in mild and moderate stages from NC leading to the in-depth understanding of language deficits.
机译：在本研究中，我们分析了从希腊人（在轻度和中度阶段诊断为患有阿尔茨海默氏病的人）以及年龄相匹配的认知正常对照（NC）获得的书面样本。我们采用了一种计算方法来比较样本中的句法-句法复杂度和词法变化。我们使用文本分类方法将样本分配给两组之一。使用各种功能对分类器进行了测试：形态句法和词汇特征。所提出的方法在区分轻度和中度NC的AD患者方面表现出色，从而可以深入理解语言缺陷。

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