Chaotic time series prediction for glucose dynamics in type 1 diabetes mellitus using regime-switching models

Abstract In patients with type 1 diabetes mellitus (T1DM), glucose dynamics are influenced by insulin reactions, diet, lifestyle, etc., and characterized by instability and nonlinearity. With the objective of a dependable decision support system for T1DM self-management, we aim to model glucose dyna...

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Autores principales: Mirela Frandes, Bogdan Timar, Romulus Timar, Diana Lungeanu
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/b60fa2131072410cbb72e6a125e9f550
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