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Proof-of-concept Application of Continuous Glucose Monitoring Data Analytics to Identify Diabetes Glucotypes.

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Bibliographic Details
Title: Proof-of-concept Application of Continuous Glucose Monitoring Data Analytics to Identify Diabetes Glucotypes.
Authors: Steenkamp DW; Department of Medicine, Section of Endocrinology, Diabetes and Nutrition, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.; Boston Medical Center, Boston, MA, USA., Cheney MC; Department of Medicine, Section of Endocrinology, Diabetes and Nutrition, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.; Boston Medical Center, Boston, MA, USA., Ju Z; Department of Medicine, Section of Endocrinology, Diabetes and Nutrition, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.; Boston Medical Center, Boston, MA, USA., Rodbard D; Biomedical Informatics Consultants LLC, Potomac, MD, USA., Wolpert HA; Department of Medicine, Section of Endocrinology, Diabetes and Nutrition, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.; Boston Medical Center, Boston, MA, USA.
Source: Journal of the Endocrine Society [J Endocr Soc] 2023 Mar 17; Vol. 7 (5), pp. bvad038. Date of Electronic Publication: 2023 Mar 17 (Print Publication: 2023).
Publication Type: Journal Article
Journal Info: Publisher: Endocrine Society Country of Publication: United States NLM ID: 101697997 Publication Model: eCollection Cited Medium: Internet ISSN: 2472-1972 (Electronic) Linking ISSN: 24721972 NLM ISO Abbreviation: J Endocr Soc Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2472-1972
DOI:10.1210/jendso/bvad038