Functional data analysis and prediction tools for continuous glucose-monitoring studies

Functional data analysis and prediction tools for continuous glucose-monitoring studies

Abstract Introduction: To identify phenotypes of type 1 diabetes based on glucose curves from continuous glucose-monitoring (CGM) using functional data (FD) analysis to account for longitudinal glucose patterns. We present a reliable prediction model that can accurately predict glycemic levels bas...

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Bibliographic Details
Main Authors: Emrah Gecili, Rui Huang, Jane C. Khoury, Eileen King, Mekibib Altaye, Katherine Bowers, Rhonda D. Szczesniak
Format: Article
Language:English
Published: Cambridge University Press 2021-01-01
Series:Journal of Clinical and Translational Science
Subjects:
Continuous glucose monitoring
functional data analysis
real-time prediction
functional principal component analysis
glycemic excursion
hyperglycemia
hypoglycemia
Online Access:https://www.cambridge.org/core/product/identifier/S2059866120005452/type/journal_article

Internet

https://www.cambridge.org/core/product/identifier/S2059866120005452/type/journal_article

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