配餐与饮酒：各种饮酒行为的血液乙醇水平的生理模型。
Pairing food and drink: A physiological model of blood ethanol levels for a variety of drinking behaviors.
机构信息
Baylor University, Department of Computer Science, Bioinformatics, Waco, TX, USA.
Pomona College, Department of Mathematics and Statistics, Claremont, CA, USA.
出版信息
Math Biosci. 2022 Mar;345:108778. doi: 10.1016/j.mbs.2022.108778. Epub 2022 Jan 13.
Abstract
We present a blood ethanol concentration compartment model which utilizes an animal's ethanol intake, food intake, and weight to predict the animal's blood ethanol concentration at any given time. By incorporating the food digestion process into the model we can predict blood ethanol concentration levels over time for a variety of drinking and eating scenarios. The model is calibrated and validated using data from cohorts of male monkeys, and is able to capture blood ethanol concentration kinetics of the monkeys from a variety of drinking behavior classifications.
摘要
我们提出了一个血液乙醇浓度隔室模型，该模型利用动物的乙醇摄入量、食物摄入量和体重来预测动物在任何给定时间的血液乙醇浓度。通过将食物消化过程纳入模型，我们可以预测各种饮酒和进食情况下的血液乙醇浓度随时间的变化。该模型使用雄性猴子的队列数据进行了校准和验证，能够捕捉到各种饮酒行为分类下猴子的血液乙醇浓度动力学。
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