[论文] Language-Based Digital Twins for Elderly Cognitive Assistance

论文概要

研究领域: ML
作者: Mohammad Mehdi Hosseini, Mohammad H. Mahoor, Hiroko H. Dodge
发布时间: 2026-06-27
arXiv: 2606.27334

中文摘要

数字孪生已成为个性化医疗保健的有前景的范式，能够建模个体行为和健康轨迹。我们提出基于语言的数字孪生框架，利用大型语言模型（LLM）通过整合个人语言模式来模拟老年人的对话行为，用于早期检测轻度认知障碍（MCI）。

原文摘要

Digital twins have emerged as a promising paradigm for personalized healthcare, enabling modeling of individual behavior and health trajectories. In cognitive health, early detection of Mild Cognitive Impairment (MCI) remains challenging, where language and conversational patterns serve as non-invasive biomarkers. In this work, we propose a language-based digital twin framework that leverages large language models (LLMs) to mimic the conversational behavior of elderly individuals by incorporatin...

自动采集于 2026-06-27

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