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04/27/2023
Learning Absorption Rates in Glucose-Insulin Dynamics from Meal Covariates
Traditional models of glucose-insulin dynamics rely on heuristic paramet...
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07/14/2021
A Framework for Machine Learning of Model Error in Dynamical Systems
The development of data-informed predictive models for dynamical systems...
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03/14/2020
Using Data Assimilation of Mechanistic Models to Estimate Glucose and Insulin Metabolism
Motivation: There is a growing need to integrate mechanistic models of b...
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11/22/2019
Enabling Personalized Decision Support with Patient-Generated Data and Attributable Components
Decision-making related to health is complex. Machine learning (ML) and ...
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02/23/2018
Behavioral-clinical phenotyping with type 2 diabetes self-monitoring data
Objective: To evaluate unsupervised clustering methods for identifying i...
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01/26/2018