物联网驱动的医疗监控与进化优化和游戏理论
Shitharth Selvarajan1,2,3, Hariprasath Manoharan4, Taher Al-Shehari5
1Department of Computer Science, Kebri Dehar University, 250, Kebri Dehar, Ethiopia. shitharths@kdu.edu.et.
Scientific reports
|April 30, 2025
概括
这项研究使用游戏理论和人工智能驱动的进化算法来增强医疗监测系统. 这种新的方法可以提高实时连接,决策和安全性,同时减少延迟和能源消耗.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
- 游戏理论 游戏理论
背景情况:
- 现有的基于物联网 (IoT) 的医疗保健系统在实时连接,决策优化和延迟方面扎.
- 解决这些局限性对于有效的远程患者监控和数据安全至关重要.
研究的目的:
- 开发一种新的系统模型,整合游戏理论和进化算法,用于医疗监测.
- 增强基于物联网的医疗保健应用程序的决策,安全和效率.
主要方法:
- 在医疗监测的决定性框架内应用游戏理论程序.
- 利用两种基于人工智能 (AI) 的进化算法来优化参与者的行为.
- 开发了一个独特的系统模型,其中有四个战略连接的关键执行者.
主要成果:
- 拟议的模型显示了决策和安全方面的显著改进.
- 在案例研究验证中,平均比现有方法有60%的改进.
- 减少了参与者的能源消耗和处理延迟.
结论:
- 将游戏理论与进化优化整合起来,有效地提高了实时医疗监测.
- 开发的模型为克服物联网医疗保健当前挑战提供了强大的解决方案.
- 这种方法为更安全,更有效的医疗保健系统提供了基础.
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