Diabetes technology: markers, monitoring, assessment, and control of blood glucose fluctuations in diabetes. - Wikidata - awgldk - TriplyDB

Diabetes technology: markers, monitoring, assessment, and control of blood glucose fluctuations in diabetes.

Diabetes technology: markers, monitoring, assessment, and control of blood glucose fluctuations in diabetes.

http://www.wikidata.org/entity/Q30416241

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Measures of Risk and Glucose Variability in Adults Versus Youths.DiAs user interface: a patient-centric interface for mobile artificial pancreas systems Q-Score: development of a new metric for continuous glucose monitoring that enables stratification of antihyperglycaemic therapies.The Evolving Role of Short-Term Professional Continuous Glucose Monitoring on Glycemic Control and Hypoglycemia Among Saudi Patients with Type 1 Diabetes: A Prospective Study Evaluation of stream mining classifiers for real-time clinical decision support system: a case study of blood glucose prediction in diabetes therapy Continuous glucose monitoring: 40 years, what we've learned and what's next.Physical activity and type 1 diabetes: time for a rewire?A Flexible Interdigital Electrode Used in Skin Penetration Promotion and Evaluation with Electroporation and Reverse Iontophoresis Synergistically.

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Diabetes technology: markers, monitoring, assessment, and control of blood glucose fluctuations in diabetes.

http://www.wikidata.org/entity/Q30416241

description

2012 nî lūn-bûn

@nan

2012 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2012 թվականի հոտեմբերին հրատարակված գիտական հոդված

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2012年の論文

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2012年学术文章

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2012年学术文章

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2012年学术文章

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2012年学术文章

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2012年学术文章

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2012年學術文章

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Diabetes technology: markers, ...... cose fluctuations in diabetes.

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Boris P Kovatchev

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Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). UK Prospective Diabetes Study (UKPDS) Group

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

Overnight closed loop insulin delivery (artificial pancreas) in adults with type 1 diabetes: crossover randomised controlled studies

Biopsychobehavioral model of risk of severe hypoglycemia. Self-management behaviors.

Biopsychobehavioral model of severe hypoglycemia. II. Understanding the risk of severe hypoglycemia.

Episodes of severe hypoglycemia in type 1 diabetes are preceded and followed within 48 hours by measurable disturbances in blood glucose.

Vascular recruitment in skeletal muscle during exercise and hyperinsulinemia assessed by contrast ultrasound.

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

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2012

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glucose monitoring

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