在识别阿尔茨海默病患者情绪方面的本体模型
David Ricardo Castillo Salazar1,2, Laura Lanzarini3, Héctor Gómez4
1Centro de Investigación de Ciencias Humanas y de la Educación (CICHE), Universidad Indoamérica, Ambato 180103, Ecuador.
Healthcare (Basel, Switzerland)
|May 27, 2023
概括
这项研究开发了一个本体学来理解阿尔茨海默病患者的情绪,使用正式的语法概念. 该模型有助于识别老年患者的情绪状态,如流浪或抑郁.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
- 老年学是指老年学的学科.
背景情况:
- 阿尔茨海默病显著影响老年患者的情绪状态.
- 准确的情绪评估对于老年护理中心的患者护理至关重要.
- 现有的方法可能缺乏细粒度,以捕捉与阿尔茨海默氏症有关的情绪的细微差别.
研究的目的:
- 为阿尔茨海默病患者的情绪开发一个概念表示模型,使用本体模型.
- 创建一个本体学,能够获得关于特定情绪状态 (流浪,紧张,抑郁,迷失方向,无聊) 的新知识.
- 将这个模型应用于厄瓜多尔安巴托州的一个人口.
主要方法:
- 基于正式语法和抽象机器的本体模型.
- 使用分类学层次,语义类别和本体学原体.
- 使用计算生成的本体结构,使用像颗粒推理器和Apache NetBeans这样的工具.
主要成果:
- 一个本体模型成功生成,包括实例.
- 颗粒推理器被用来确定模型中的预期效应.
- 这项研究展示了人工智能驱动的本体论在现实世界卫生环境中的应用.
结论:
- 本体模型提供了一个强大的框架来表示复杂的患者状态.
- 这种方法可以提高对阿尔茨海默病患者特定情绪的理解和潜在识别.
- 开发的本体学为对老年护理人工智能应用的进一步研究提供了基础.
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