监督和无监督方法实时检测因故障引起的不需要的胰岛素悬浮

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Updated: Jun 27, 2025

Homogeneous Time-resolved Förster Resonance Energy Transfer-based Assay for Detection of Insulin Secretion

Homogeneous Time-resolved Förster Resonance Energy Transfer-based Assay for Detection of Insulin Secretion

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Elena Idi¹, Andrea Facchinetti¹, Giovanni Sparacino¹

¹Department of Information Engineering, University of Padova, Padova, Italy.

Journal of diabetes science and technology

|April 29, 2024

概括

无监督的个性化算法通过适应个体葡萄糖反应,有效地检测1型糖尿病 (T1D) 中的胰岛素输送暂停. 基于人群的方法最初对使用自动化胰岛素输送系统 (AID) 的新患者有用.

科学领域:

生物医学工程生物医学工程
人工智能在医学中的应用
内分泌学在内分泌学.

背景情况:

自动化胰岛素输送系统 (AID) 改善了1型糖尿病 (T1D) 的管理.
胰岛素或输注装置的故障可能会停止胰岛素的输送,降低AID的有效性并危及患者的安全.
实时检测完整的胰岛素悬浮液对于AID系统的可靠性至关重要.

研究的目的:

为了比较监督和无监督的数据驱动策略,在AID系统中实时检测完整的胰岛素悬浮.
在基于人口和个性化的环境中评估这些策略.
确定最有效的方法来确保AID系统的安全性和有效性.

主要方法:

利用UVA/Padova T1D模拟器在一个月内为100个虚拟主体生成合成数据集.
模拟完整的胰岛素封闭作为治疗暂停事件.
在人口和个性化设置中比较监督 (逻辑回归,随机森林) 和无监督 (隔离森林) 算法.

主要成果:

在人口环境中,监督方法 (随机森林: 82%的回忆,0.21 FP/day) 优于无监督方法.
在个性化环境中,针对个体患者量身定制的无监督算法获得了更好的性能 (隔离森林:80%的回忆,0.06FP/天).
与基于人群的方法相比,个性化无监督方法显示了胰岛素悬浮的优异检测.

结论:

在T1D患者中检测胰岛素悬浮时,无监督的个性化方法优越,因为个体反应的变化.
基于人口的方法作为一个实用的临时解决方案,新患者等待足够的个性化数据.
定制的,数据驱动的检测算法提高了自动化胰岛素输送系统的安全性和可靠性.

关键词:

检测故障的检测故障检测.胰岛素的胰岛素可以第1类糖尿病 1型糖尿病

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