论文标题
AI驱动语言评估工具
AI-powered Language Assessment Tools for Dementia
论文作者
论文摘要
本文的主要目的是提出一种开发人工智能（AI）功率语言评估（LA）工具的方法。这些工具可用于评估老年人与痴呆症相关的语言障碍。机器学习（ML）分类器是我们提出的方法的主要部分，因此为了开发具有高灵敏度和特异性的精确工具，我们考虑了不同的二进制分类器并评估其性能。我们还通过比较不同类型的语言任务，功能和记录媒体对ML分类器的性能的影响来评估方法的可靠性和有效性。
The main objective of this paper is to propose an approach for developing an Artificial Intelligence (AI)-powered Language Assessment (LA) tool. Such tools can be used to assess language impairments associated with dementia in older adults. The Machine Learning (ML) classifiers are the main parts of our proposed approach, therefore to develop an accurate tool with high sensitivity and specificity, we consider different binary classifiers and evaluate their performances. We also assess the reliability and validity of our approach by comparing the impact of different types of language tasks, features, and recording media on the performance of ML classifiers.
