在云计算医疗保健系统中优化患者分配:分布式遗传算法
Xinyu Pang1, Yong-Feng Ge2, Kate Wang3
1Guangdong Technion Israel Institute of Technology, Shantou, China.
Health information science and systems
|July 3, 2023
概括
一个分布式遗传算法优化了患者在云计算医疗保健系统中的分配,减少了等待时间和改善了资源使用. 这种方法提高了系统的效率和可扩展性,以改善医疗保健服务.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能的人工智能
- 优化算法 优化算法
背景情况:
- 云计算医疗保健系统将互联网技术与传统医疗保健相结合.
- 这些系统旨在平衡在线诊断和线下治疗.
- 关键的挑战包括减少患者等待时间和优化医疗资源利用.
研究的目的:
- 提出一种分布式遗传算法 (DGA),用于优化云医疗系统中的患者分配 (PA).
- 为了提高在线诊断和离线治疗之间的平衡.
- 提高云计算医疗保健系统的效率和可扩展性.
主要方法:
- 一个分布式遗传算法 (DGA) 已被开发用于优化患者分配.
- DGA使用个人作为解决方案,使用交叉,突变和选择运算符.
- 实施了分布式框架,以促进人口多样性和可扩展性.
主要成果:
- 拟议的DGA有效地优化了云医疗保健中的患者分配问题.
- 实验结果验证了算法的性能.
- DGA在平衡在线和离线医疗保健组件方面取得了改进.
结论:
- DGA是一种可行且有效的方法,用于优化云计算医疗保健系统中的患者分配.
- 这种方法有助于减少患者等待时间和更好的资源配置.
- DGA框架为云医疗保健应用程序提供了增强的多样性和可扩展性.
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