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

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Artificial Intelligence for Diabetes Management and Decision Support: Literature Review.Identifiability Analysis of Three Control-Oriented Models for Use in Artificial Pancreas Systems

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P2860

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

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2017 nî lūn-bûn

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2017年の論文

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2017年論文

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2017年論文

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2017年論文

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2017年論文

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2017年论文

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Chaotic time series prediction ...... using regime-switching models.

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Chaotic time series prediction ...... using regime-switching models.

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Chaotic time series prediction ...... using regime-switching models.

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P1476

Chaotic time series prediction ...... using regime-switching models

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P2093

Romulus Timar

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P2860

Algorithmic evaluation of metabolic control and risk of severe hypoglycemia in type 1 and type 2 diabetes using self-monitoring blood glucose data.

Artificial pancreas: past, present, future

"Smart" continuous glucose monitoring sensors: on-line signal processing issues.

Evaluating the accuracy of continuous glucose-monitoring sensors: continuous glucose-error grid analysis illustrated by TheraSense Freestyle Navigator data.

Statistical tools to analyze continuous glucose monitor data.

Analytical methods for the retrieval and interpretation of continuous glucose monitoring data in diabetes.

Is blood glucose predictable from previous values? A solicitation for data.

How Much Is Short-Term Glucose Prediction in Type 1 Diabetes Improved by Adding Insulin Delivery and Meal Content Information to CGM Data? A Proof-of-Concept Study

Predicting subcutaneous glucose concentration in humans: data-driven glucose modeling.

Estimation of future glucose concentrations with subject-specific recursive linear models.

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s41598-017-06478-4

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scholarly article

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10.1038/S41598-017-06478-4

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English

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http://www.w3.org/2001/XMLSchema#string

P478

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Diana Lungeanu

Bogdan Timar

Mirela Frandes

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2017-07-24T00:00:00Z

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28740090

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P921

type-1 diabetes

P932

5524948

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

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P2860

P2860

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

description

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type

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P2093

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