机器学习在艾滋病毒感染的老年人认知健康中的应用:快速系统审查
Hwayoung Cho1, Jiyoun Song2, Hannah Cho2
1College of Nursing, University of Florida, 1225 Center Dr., Gainesville, FL, 32610, United States, 1 3522736598.
JMIR aging
|December 31, 2025
概括
机器学习显示出在艾滋病毒感染的老年人中检测痴呆症的前景,但研究有限. 未来的研究需要更大,更多样化的数据集和更广泛的痴呆重点,以更好地管理认知健康.
科学领域:
- 人工智能在医学中的应用
- 神经科学研究 神经科学研究
- 老年医学 老年医学
背景情况:
- 超过一半的艾滋病毒感染者现在年龄超过50岁,面临着明显更高的痴呆风险.
- 人工智能 (AI),特别是机器学习 (ML),为该群体的痴呆症预测和管理提供了新的工具.
研究的目的:
- 在艾滋病毒感染的老年人痴呆症研究中系统地审查ML应用.
- 确定这个领域的缺口和未来的研究方向.
主要方法:
- 在PubMed,CINAHL和Embase搜索了过去10年的研究.
- 包括使用ML技术对艾滋病毒感染者进行的原始研究,用于与痴呆相关的结果.
主要成果:
- 721篇文章中有26篇符合纳入标准;大多数是以美国为基础的回顾性研究.
- 监督的ML技术是常见的,并且显示出与艾滋病毒相关的神经认知障碍的强大预测性能.
- 方法上的局限性包括样本规模小,缺乏外部验证,多样性有限.
结论:
- 目前的ML研究主要集中在与艾滋病毒相关的神经认知障碍上,忽视了阿尔茨海默氏症等其他痴呆症.
- 未来的研究需要纵向,多式联络数据,先进的机器学习和更广泛的痴呆范围,以改善检测和管理.
关键词:
艾滋病病毒 艾滋病病毒 艾滋病病毒普里斯玛是什么意思 普里斯玛是什么意思系统审查和元分析的首选报告项目衰老的衰老 衰老的衰老人工智能的人工智能是人工智能.认知障碍是一种认知障碍.痴呆症 痴呆症是一种痴呆症.机器学习是机器学习.更多相关视频
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