相关实验视频
Updated: Jun 25, 2025

07:42
A Data-Driven Approach to Quantifying Immune States in Sepsis
Published on: February 7, 2025
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一个复杂的模糊决策模型,用于分析流行后的免疫可持续性
Subramaniam Pragathi1, Samayan Narayanamoorthy1, Selvaraj Dhivya2
1Department of Mathematics, Bharathiar University, Coimbatore 641046, India.
Acta tropica
|May 21, 2024
概括
后COVID-19疫苗接种异常影响妇女的健康,需要进行风险评估. 这项研究引入了一种新的模糊集方法来评估这些对女性的复杂影响.
科学领域:
- 妇女健康 妇女健康
- 公共卫生 公共卫生
- 医疗决策的制定 医疗决策的制定
背景情况:
- 随着COVID-19大流行和随后的疫苗接种活动,疫苗接种后的效应变化不一.
- 这些影响对妇女的身体,心理,社会和经济福祉产生重大影响.
- 对于妇女接种疫苗后出现这些异常的综合风险评估至关重要.
研究的目的:
- 为评估疫苗接种后对妇女的多方面的影响制定一个强大的框架.
- 引入一种新的决策方法,利用复杂的双极球体模糊 א-软集.
主要方法:
- 复杂的双极球体模糊和软集的应用,以处理模糊和参数数据.
- 通过与理想解决方案相似的订单偏好技术 (TOPSIS) 进行决策优化.
- 通过现实应用和比较分析来证明有效性.
主要成果:
- 拟议的方法有效地评估了疫苗接种后对妇女的复杂影响.
- 在模糊集环境中的TOPSIS方法优化了决策结果.
- 该方法与现有技术相比,显示出显著的可信度和完整性.
结论:
- 建立了一个新的决策框架,用于评估疫苗接种后对妇女健康的影响.
- 该研究强调了考虑到社会经济和生物因素的量身定制风险评估的重要性.
- 开发的方法提供了一个可靠的工具,以保障妇女在后疫情时代的福祉.
关键词:
决策方式 决策方式一个模糊的设置.风险分析 风险分析后流行病的影响.疫苗疫情爆发疫苗疫情爆发疫苗疫情爆发疫苗疫情疫情疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫情疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗疫苗妇女健康 妇女健康相关概念视频
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