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