Automatic diagnosis of Alzheimer’s disease using lexical features extracted from language samples

Background: This study has a twofold goal. First, it aims to improve the understanding of the impact of dementia of type Alzheimer's disease (AD) on different aspects of the lexicon. Second, it aims to demonstrate that such aspects of the lexicon, when used as features of a machine learning classifier, can help achieve state-of-the-art performance in automatically identifying language samples produced by patients with AD.