Machine Learning to Identify Predictors of Glycemic Control in Type 2 Diabetes: An Analysis of Target HbA1c Reduction Using Empagliflozin/Linagliptin Data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Pharmacology (medical),Pharmacology
Link
http://link.springer.com/content/pdf/10.1007/s40290-019-00281-4.pdf
Reference29 articles.
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3. Garber AJ, Abrahamson MJ, Barzilay JI, et al. Consensus Statement by the American Association of Clinical Endocrinologists and American College of Endocrinology on the comprehensive type 2 diabetes management algorithm—2019 executive summary. Endocr Pract. 2019;25(1):69–100.
4. American Diabetes Association. 9. Pharmacologic approaches to glycemic treatment: standards of medical care in diabetes—2019. Diabetes Care. 2019;42(Suppl 1):S90–S102.
5. Fox KM, Gerber RA, Bolinder B, Chen J, Kumar S. Prevalence of inadequate glycemic control among patients with type 2 diabetes in the United Kingdom general practice research database: a series of retrospective analyses of data from 1998 through 2002. Clin Ther. 2006;28(3):388–95.
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