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用半物理模型和混合模型预测控制来管理妊娠体重增加的优化行为干预
Owais Khan1, Francesco Campregher2,3, Daniel E Rivera1
1Control Systems Engineering Laboratory, School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ 85287 USA.
概括
这项研究优化了健康的母亲区 (HMZ) 干预措施,以管理使用混合模型预测控制 (HMPC) 的妊娠体重增加. 这种新方法比传统方法提供了更健康的怀孕的好处.
科学领域:
- 控制工程 控制工程 控制工程
- 行为科学 行为科学
- 孕产妇健康 孕产妇健康
背景情况:
- 孕期体重增加管理对于母亲和婴儿的健康至关重要.
- 现有的行为干预往往缺乏个性化,适应性策略.
- 顺序决策为优化干预提供了一个有希望的框架.
研究的目的:
- 描述一个优化的行为干预,健康的区 (HMZ),用于管理妊娠期体重增加.
- 在行为干预中实施混合模型预测控制 (HMPC) 进行顺序决策.
- 证明基于HMPC的干预对传统方法的好处.
主要方法:
- 开发了整合行为和生理因素的动态模型.
- 从参与者数据中估计的模型使用受约束的半物理建模.
- 应用了一个HMPC算法来对干预剂量进行顺序控制.
主要成果:
- 一个案例研究表明,与"IF-THEN"策略相比,HMPC方法的优势.
- 计算框架允许对干预组件进行明智的,不频繁的增强.
- 开发的框架是健康区2.0.0的基础.
结论:
- HMPC为优化像HMZ这样的行为干预提供了一个有效的框架.
- 个性化,适应性控制可以改善妊娠期体重增加管理.
- 健康的母亲区域2.0干预目前正在临床试验中进行评估.
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