Using Data Assimilation of Mechanistic Models to Estimate Glucose and Insulin Metabolism

2020/03/14 by Jami J. Mulgrave, Mulgrave, Jami J., Matthew E. Levine +9
Mathematics · Physics and Astronomy · #Applications (stat.AP) #FOS: Computer and information sciences #FOS: Physical sciences #Medical Physics (physics.med-ph) #physics.med-ph #stat.AP

paper · pdf · doi:10.48550/arxiv.2003.06541

arxiv created 2020/03/14 · arxiv updated 2020/03/17

Abstract

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.

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