使用Rendezvous数据处理模型 (RDPM) 提高电子健康系统的准确性,并与物联网云集成
Sana Shahab1, Ashit Kumar Dutta2,3, Zaffar Ahmed Shaikh4,5
1Department of Business Administration, College of Business Administration, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
Digital health
|March 2, 2026
概括
约会数据处理模型 (RDPM) 通过整合物联网云架构来增强电子健康监控,减少错误并提高决策准确性,以获得更好的患者护理.
科学领域:
- 医疗信息学 医疗信息学
- 物联网 (IoT) 的物联网 (IoT) 的物联网.
- 云计算 云计算 云计算 云计算
背景情况:
- 当前的电子健康系统通常会提供不准确或多余的建议,因为它们依赖于静态分析和孤立数据.
- 这种限制阻碍了电子健康监控系统的精度和性能.
研究的目的:
- 开发和实施一个与物联网云架构兼容的约会数据处理模型 (RDPM).
- 提高电子健康监测系统的精度和性能.
主要方法:
- RDPM处理历史建议和当前的分析缺陷,以增强实时决策.
- 它利用分割的特征和数据流来对先前的观测进行假设验证.
- 互联网连接的传感器收集患者和环境数据,云分析评估系统精度.
主要成果:
- 通过RDPM,数据中断,分析错误和推比率都减少了.
- 该模型提高了决策正确性,并准确地解释了多个输入流.
- 与传统的物联网医疗分析相比,RDPM提高了建议准确性,减少了计算冗余.
结论:
- 与物联网云技术集成的RDPM创建了一个可扩展的平台,用于先进的电子健康监控.
- 国家学习和动态数据验证使RDPM能够提供更准确和更具背景意识的健康建议.
- 这种自我改进的方法有效地管理医疗保健系统的大量实时数据集.
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