论文标题
使用机械模型的数据同化来估计葡萄糖和胰岛素代谢
Using Data Assimilation of Mechanistic Models to Estimate Glucose and Insulin Metabolism
论文作者
论文摘要
动机：越来越需要将生物过程的机理模型与医疗保健中的计算方法相结合，以改善预测。我们在2型糖尿病的背景下应用数据同化来了解与该疾病相关的参数。 结果：数据同化方法捕获了患者在手术后改善葡萄糖耐受性的程度。数据同化有可能改善2型糖尿病的表型。
Motivation: There is a growing need to integrate mechanistic models of biological processes with computational methods in healthcare in order to improve prediction. We apply data assimilation in the context of Type 2 diabetes to understand parameters associated with the disease. Results: The data assimilation method captures how well patients improve glucose tolerance after their surgery. Data assimilation has the potential to improve phenotyping in Type 2 diabetes.
