将生成对抗网络与物联网集成,以在智能家居中实现适应性AI驱动的个性化老年护理
Fawad Naseer1, Abdullah Addas2,3, Muhammad Tahir4
1Department of Computer Science and Software Engineering, Beaconhouse International College, Faisalabad, Pakistan.
Frontiers in artificial intelligence
|February 28, 2025
概括
本研究介绍了一种人工智能和生成对抗网络 (GAN) 系统,用于智能家居中的个性化老年护理. 它增强了对健康风险的早期发现和反应,提高了老年人的独立性和生活质量.
科学领域:
- 人工智能的人工智能
- 医疗保健技术 技术 医疗保健 技术
- 老年学是一门学科.
背景情况:
- 全球老年人口迅速增加,需要先进的家庭护理解决方案.
- 现有的老年护理系统往往缺乏个性化,并因罕见疾病的数据稀缺而扎.
研究的目的:
- 开发和评估一个物联网支持的适应性AI框架,与生成对抗网络 (GANs) 集成,用于个性化的老年护理.
- 通过使用GAN来生成合成健康数据来解决医疗保健中的数据短缺问题.
- 提高老年人的预测性健康监测的准确性和效率.
主要方法:
- 利用生成对抗网络 (GAN) 来生成合成健康数据,提高预测模型的稳定性并解决数据隐私问题.
- 整合了适应性AI框架与物联网传感器 (可穿戴和环境) 进行持续的健康和环境监测.
- 开发了用于个性化提示,提醒和紧急警报的实时分析.
主要成果:
- 在一个大规模的现实世界测试设置中,实现了对风险条件的30%更快的检测率.
- 与现有解决方案相比,显示了25%更快的响应时间.
- GANs促进了创建现实的,匿名的健康档案,增强数据隐私和模型准确性.
结论:
- 拟议的系统有效地融合了AI和GAN技术,以推进智能家居中的老年人护理.
- 该框架为个性化医疗保健提供了一种新的方法,改善老年人的生活质量和独立性.
- 这项技术有可能在支持物联网的智能家居环境中重塑老年护理.
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