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Chaotic time series prediction for glucose dynamics in type 1 diabetes mellitus using regime-switching models
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 dynamics usin...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5524948/ https://www.ncbi.nlm.nih.gov/pubmed/28740090 http://dx.doi.org/10.1038/s41598-017-06478-4 |