在不同料中使用机器学习进行体外气体生产的最佳性能数学模型的系统选择
Hamed Ahmadi1, Natascha Titze2, Katharina Wild2
1Institute of Animal Science, University of Hohenheim, Stuttgart, Germany. hamed.ahmadi@uni-hohenheim.de.
Scientific reports
|August 21, 2025
概括
有效的数学模型对于解释反动物料中的体外气体产生至关重要. 伯尔XII,反向对逻辑和逻辑模型在各种料类型中提供了卓越的准确性和通用性.
科学领域:
- 食动物的营养
- 数学模型
- 料评价
背景情况:
- 试验室气体生产 (GP) 是评估反动物食性的一种标准方法.
- 对GP数据的准确解释在很大程度上依赖于适当的数学模型.
- 确定多功能和高效的GP动态模型对于推进反动物营养至关重要.
研究的目的:
- 对各种料类型的体外气体生产 (GP) 概况进行系统的非线性模型评估.
- 确定GP动态的最准确和最可概括的模型.
- 建立一个框架来选择反动物料的最佳模型.
主要方法:
- 分析了来自缩料的849个体外气体生产概况的综合数据集.
- 21个候选非线性模型使用适合度指标进行了严格评估,重点是贝叶斯信息标准 (BIC).
- 使用统计和机器学习方法进行了简化模型选择.
主要成果:
- 在不同料类型中,Burr XII,Inverse paralogistic和Log-logistic模型始终表现出优异的性能.
- 模型选择对GP预测的准确性产生了重大影响,而不是料类型的特征.
- 这三种模型具有很高的概括性和预测能力.
结论:
- 推使用Burr XII,反向分析和Log-logistic模型进行精确的体外气体生成分析.
- 已经建立了一个强大的GP研究模型选择框架.
- 这项研究为改善体外与体内可消化的相关性和改进的反动物养策略铺平了道路.
相关概念视频
01:29Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
100
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
100
01:26Pharmacokinetic Models: Comparison and Selection Criterion
149
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
149
01:13Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model
126
Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
126
01:23Mechanistic Models: Compartment Models in Individual and Population Analysis
86
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
86
01:14Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches
224
Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
224