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Improving IV Insulin Administration in a Community Hospital
Published on: June 11, 2012
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InsNET:准确的基础和玻鲁斯胰岛素剂量预测,用于闭环糖尿病管理
概括
一个新的深度学习模型InsNET通过准确估计用于1型糖尿病管理的胰岛素剂量来改善人工胰腺功能. 这种闭环系统通过使用身体活动等新型输入来增强血糖控制.
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:
- 与开放循环系统相比,闭环糖尿病管理系统显示出优越的血糖控制和患者遵守.
- 深度学习模型越来越多地用于开发人工胰腺技术的关键组件.
- 准确的胰岛素剂量估计对于人工胰腺系统的有效性至关重要.
研究的目的:
- 提出一种新的深度学习模型,InsNET,用于估计1型糖尿病患者的基础和玻尿酸胰岛素水平.
- 通过将体育活动数据与传统输入相结合,增强闭环糖尿病管理.
- 为了提高人工胰腺系统内胰岛素剂量确定的准确性.
主要方法:
- 开发了InsNET,这是一种深度学习模型,采用了长短期记忆 (LSTM) 和门式循环单元 (GRU) 层的广深组合.
- 综合体力活动水平作为输入特征,使其与以前的模型区别开来,这些模型仅使用持续血糖监测 (CGM),碳水化合物摄入量 (CHO) 和过去的胰岛素剂量.
- 使用in-silico数据集验证模型,特别是UVA/Padova和mGIPsim数据集.
主要成果:
- 在UVA/Padova数据集上,InsNET实现了0.002的平均绝对误差 (MAE) 和0.007的根平均平方误差 (RMSE).
- 该模型在mGIPsim数据集上表现出强的表现,MAE为0.001和RMSE为0.003.
- 这些结果表明,在估计胰岛素剂量需求时,其准确度很高.
结论:
- 拟议的InsNET模型为1型糖尿病的人工胰腺技术提供了重大进展.
- 通过深度学习,可以通过结合各种生理输入来准确地确定基础和玻尿酸胰岛素剂量.
- 在闭环系统中,InsNET对于改善胰岛素治疗管理和患者的治疗结果具有临床意义.
相关概念视频
Insulin: Dosing Regimen and Adverse Effects
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Insulin-replacement therapy usually includes both long-acting insulin (basal) and short-acting insulin (to cater to postprandial needs). In a diverse group of type 1 diabetes patients, the average daily insulin dose is typically 0.5-0.7 units/kg body weight. However, obese patients and pubertal adolescents may need more due to insulin resistance.
The basal dose constitutes about 40%-50% of the total daily dose, with the rest as premeal insulin. The mealtime insulin dose should mirror...
The basal dose constitutes about 40%-50% of the total daily dose, with the rest as premeal insulin. The mealtime insulin dose should mirror...
179
One-Compartment Open Model for IV Bolus Administration: General Considerations
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The one-compartment model is a pharmacokinetic tool that models the body as a single, uniform compartment, facilitating the understanding of drug distribution and elimination. This model is particularly beneficial for intravenous (IV) bolus administration, where the drug rapidly circulates throughout the body.
The drug's presence in the body is defined by an equation representing the difference between the rates of drug entry and exit. Key parameters—elimination rate constant,...
The drug's presence in the body is defined by an equation representing the difference between the rates of drug entry and exit. Key parameters—elimination rate constant,...
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Insulin Formulations: Types and Delivery
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Insulin preparations are categorized by their duration of action into short-acting and long-acting types. Two strategies are used to modify insulin's absorption and pharmacokinetic profile: slowing the absorption post-subcutaneous injection, or altering human insulin's amino acid sequence or protein structure. These changes retain the insulin's ability to bind to the insulin receptor, but alter its behavior in solution or after injection.
Short-acting insulins are divided into...
Short-acting insulins are divided into...
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One-Compartment Open Model for IV Bolus Administration: Estimation of Elimination Rate Constant, Half-Life and Volume of Distribution
261
The one-compartment open model is a simplified approach used in pharmacokinetics to understand the distribution and elimination of a drug administered through an intravenous bolus. This model assumes rapid drug dispersal throughout the body and elimination using a first-order process. Key pharmacokinetic parameters, such as the elimination rate constant (k), half-life (t1/2), and the apparent volume of distribution (Vd), can be estimated from this model. The elimination rate is calculated...
261
Two-Compartment Open Model: IV Bolus Administration
527
The two-compartment model for intravenous (IV) bolus administration illustrates drug distribution in the body, subdividing it into central and peripheral compartments. This model operates on the concept of two-compartment kinetics. The drug's plasma concentration shows a bi-exponential decline following IV bolus administration, signaling the presence of two disposition processes: distribution and elimination.
The disparity between drug input and the sum of drug transfer rates between...
The disparity between drug input and the sum of drug transfer rates between...
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One-Compartment Open Model for IV Bolus Administration: Estimation of Clearance
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Clearance is a key pharmacokinetic parameter that quantifies the volume of body fluid from which a drug is entirely removed within a specific time frame. It is crucial in assessing how a drug is eliminated from the body and has critical clinical applications.
In the one-compartment open model for intravenous (IV) bolus administration, clearance is estimated by dividing the elimination rate by the plasma drug concentration. This equation leverages the elimination rate constant and the apparent...
In the one-compartment open model for intravenous (IV) bolus administration, clearance is estimated by dividing the elimination rate by the plasma drug concentration. This equation leverages the elimination rate constant and the apparent...
79

