Evaluation of a Blood Glucose Monitoring System with Automatic High- and Low-Pattern Recognition Software in Insulin-Using Patients: Pattern Detection and Patient-Reported Insights-Reference-Cited by-同舟云学术

Evaluation of a Blood Glucose Monitoring System with Automatic High- and Low-Pattern Recognition Software in Insulin-Using Patients: Pattern Detection and Patient-Reported Insights

Published:2013-07 Issue:4 Volume:7 Page:970-978
ISSN:1932-2968
Container-title:Journal of Diabetes Science and Technology
language:en
Short-container-title:J Diabetes Sci Technol

Author:

Grady Mike¹,Campbell Denise¹,MacLeod Kirsty¹,Srinivasan Aparna²

Affiliation:

1. LifeScan Scotland Ltd, Inverness, United Kingdom

2. LifeScan, Inc., Milpitas, California

Publisher

SAGE Publications

Subject

Biomedical Engineering,Bioengineering,Endocrinology, Diabetes and Metabolism,Internal Medicine

Link

http://journals.sagepub.com/doi/pdf/10.1177/193229681300700419

Reference16 articles.

1. Training in flexible, intensive insulin management to enable dietary freedom in people with type 1 diabetes: dose adjustment for normal eating (DAFNE) randomised controlled trial

2. Glycaemic control and severe hypoglycaemia following training in flexible, intensive insulin therapy to enable dietary freedom in people with type 1 diabetes: a prospective implementation study

3. Structured Self-Monitoring of Blood Glucose Significantly Reduces A1C Levels in Poorly Controlled, Noninsulin-Treated Type 2 Diabetes

4. A Structured Self-Monitoring of Blood Glucose Approach in Type 2 Diabetes Encourages More Frequent, Intensive, and Effective Physician Interventions: Results from the STeP Study

5. Assessing Glycemic Control With Self-monitoring of Blood Glucose and Hemoglobin A1c Measurements

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