揭示了使用文本挖掘对痴呆症语音生物标志物的30年研究
1Department of Communication Sciences and Disorders, College of Health Sciences, University of Kentucky, Lexington, KY, USA.
Digital health
|August 4, 2025
概括
语音修饰分析显示出对痴呆症诊断的前景. 研究正在加速,由技术和跨学科合作驱动,突出其作为成本有效工具的潜力.
科学领域:
- 神经学 神经学
- 语言学的语言学.
- 计算语言学 计算语言学
背景情况:
- 痴呆症发病率的上升需要有效的诊断工具.
- 语音修饰分析提供了用于痴呆症识别的非侵入性生物标志物.
- 缺乏对痴呆症语音修辞研究的主题演变的纵向分析.
研究的目的:
- 在过去的30年中,对痴呆症语音修辞研究进行文本挖掘分析.
- 确定关键的研究趋势,主题模式和相关主题.
- 解决有关该研究领域纵向演变的知识差距.
主要方法:
- 科学出版物的文本挖掘分析.
- 三十年来研究趋势的图书统计分析.
- 对已识别的研究模式进行主题分析.
主要成果:
- 自2020年以来观察到的研究活动显著加速.
- 临床需求与语音分析技术进步的融合.
- 确定该领域固有的跨学科性质.
结论:
- 语音代词分析是一个充满活力和不断发展的领域,具有痴呆症的诊断潜力.
- 多学科方法对于推动该领域的研究至关重要.
- 进一步的研究是有必要的,以评估语音在痴呆症的诊断实用性.
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