Statistical tools to analyze continuous glucose monitor data. - Wikidata - wikimedia - TriplyDB

Statistical tools to analyze continuous glucose monitor data.

Statistical tools to analyze continuous glucose monitor data.

http://www.wikidata.org/entity/Q30435444

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Report from IPITA-TTS Opinion Leaders Meeting on the Future of β-Cell Replacement Assessing the analytical performance of systems for self-monitoring of blood glucose: concepts of performance evaluation and definition of metrological key terms Clinical requirements for closed-loop control systems.Effect of Peripheral Electrical Stimulation (PES) on Nocturnal Blood Glucose in Type 2 Diabetes: A Randomized Crossover Pilot Study Metrics for glycaemic control - from HbA1c to continuous glucose monitoring.Outcome Measures for Artificial Pancreas Clinical Trials: A Consensus Report Glucose Variability: Timing, Risk Analysis, and Relationship to Hypoglycemia in Diabetes.Is Psychological Stress a Factor for Incorporation Into Future Closed-Loop Systems?Are Risk Indices Derived From CGM Interchangeable With SMBG-Based Indices?Assessing sensor accuracy for non-adjunct use of continuous glucose monitoring Modular closed-loop control of diabetes Diabetes technology: markers, monitoring, assessment, and control of blood glucose fluctuations in diabetes.Fully integrated artificial pancreas in type 1 diabetes: modular closed-loop glucose control maintains near normoglycemia A bio-inspired glucose controller based on pancreatic β-cell physiology A closed-loop artificial pancreas based on risk management."Smart" continuous glucose monitoring sensors: on-line signal processing issues.Multinational study of subcutaneous model-predictive closed-loop control in type 1 diabetes mellitus: summary of the results.Impact of blood glucose self-monitoring errors on glucose variability, risk for hypoglycemia, and average glucose control in type 1 diabetes: an in silico study.Control to range for diabetes: functionality and modular architecture.A standard approach to continuous glucose monitor data in pregnancy for the study of fetal growth and infant outcomes."Glucose-at-a-Glance": New Method to Visualize the Dynamics of Continuous Glucose Monitoring Data.A Simple Composite Metric for the Assessment of Glycemic Status from Continuous Glucose Monitoring Data: Implications for Clinical Practice and the Artificial Pancreas.GlyCulator: a glycemic variability calculation tool for continuous glucose monitoring data.High-intensity interval exercise and glycemic control in adolescents with type one diabetes mellitus: a case study Assessing the effectiveness of 3 months day and night home closed-loop insulin delivery in adults with suboptimally controlled type 1 diabetes: a randomised crossover study protocol.Inpatient trial of an artificial pancreas based on multiple model probabilistic predictive control with repeated large unannounced meals.Continuous glucose monitoring for evaluation of glycemic excursions after gastric bypass.Q-Score: development of a new metric for continuous glucose monitoring that enables stratification of antihyperglycaemic therapies.Continuous glucose monitoring analysis as predictor of islet yield and insulin requirements in autologous islet transplantation after complete pancreatectomy.Continuous glucose monitoring: a review for behavioral researchers.Real-time continuous glucose monitoring in an intensive care unit: better accuracy in patients with septic shock.The Clinical Benefits and Accuracy of Continuous Glucose Monitoring Systems in Critically Ill Patients-A Systematic Scoping Review.Diabetes and Prediabetes Classification Using Glycemic Variability Indices From Continuous Glucose Monitoring Data.Accuracy of a real-time continuous glucose monitoring system in children with septic shock: A pilot study.Evaluating the accuracy and large inaccuracy of two continuous glucose monitoring systems.Continuous Glucose Monitoring Versus Capillary Point-of-Care Testing for Inpatient Glycemic Control in Type 2 Diabetes Patients Hospitalized in the General Ward and Treated With a Basal Bolus Insulin Regimen.Real-time improvement of continuous glucose monitoring accuracy: the smart sensor concept Dynamic Stress Factor (DySF): A Significant Predictor of Severe Hypoglycemic Events in Children with Type 1 Diabetes Performance and safety of an integrated bihormonal artificial pancreas for fully automated glucose control at home.Flash Glucose-Sensing Technology as a Replacement for Blood Glucose Monitoring for the Management of Insulin-Treated Type 2 Diabetes: a Multicenter, Open-Label Randomized Controlled Trial

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P2860

Statistical tools to analyze continuous glucose monitor data.

http://www.wikidata.org/entity/Q30435444

description

2009 nî lūn-bûn

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2009 թուականի Յունիսին հրատարակուած գիտական յօդուած

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2009 թվականի հունիսին հրատարակված գիտական հոդված

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2009年の論文

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2009年学术文章

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2009年学术文章

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2009年学术文章

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2009年学术文章

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2009年学术文章

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2009年學術文章

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Statistical tools to analyze continuous glucose monitor data.

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Statistical tools to analyze continuous glucose monitor data.

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Statistical tools to analyze continuous glucose monitor data.

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Statistical tools to analyze continuous glucose monitor data.

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Statistical tools to analyze continuous glucose monitor data.

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Statistical tools to analyze continuous glucose monitor data.

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Diabetes technology & therapeutics

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Statistical tools to analyze continuous glucose monitor data.

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Boris Kovatchev

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William Clarke

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P2860

The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. The Diabetes Control and Complications Trial Research Group

Methods for quantifying self-monitoring blood glucose profiles exemplified by an examination of blood glucose patterns in patients with type 1 and type 2 diabetes.

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

Comparison of the numerical and clinical accuracy of four continuous glucose monitors

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

Evaluating the efficacy of closed-loop glucose regulation via control-variability grid analysis

Optimum subcutaneous glucose sampling and fourier analysis of continuous glucose monitors

Continuous Glucose Sensors: Continuing Questions about Clinical Accuracy.

Evaluating the clinical accuracy of two continuous glucose sensors using continuous glucose-error grid analysis.

Quantifying temporal glucose variability in diabetes via continuous glucose monitoring: mathematical methods and clinical application.

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S45-54

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scholarly article

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10.1089/DIA.2008.0138

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11 Suppl 1

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2009-06-01T00:00:00Z

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51436761

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19469677

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2903980

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