Predicting short‐ and long‐term glycated haemoglobin response after insulin initiation in patients with type 2 diabetes mellitus using machine‐learning algorithms-Reference-Cited by-同舟云学术

Predicting short‐ and long‐term glycated haemoglobin response after insulin initiation in patients with type 2 diabetes mellitus using machine‐learning algorithms

Published:2019-09-30 Issue:12 Volume:21 Page:2704-2711
ISSN:1462-8902
Container-title:Diabetes, Obesity and Metabolism
language:en
Short-container-title:Diabetes Obes Metab

Author:

Nagaraj Sunil B.¹^ORCID,Sidorenkov Grigory¹²^ORCID,Boven Job F. M.¹,Denig Petra¹

Affiliation:

1. Department of Clinical Pharmacy and Pharmacology, University of GroningenUniversity Medical Centre Groningen Groningen The Netherlands

2. Department of Epidemiology, University of GroningenUniversity Medical Centre Groningen Groningen The Netherlands

Funder

University Medical Center Groningen

University of Groningen

Publisher

Wiley

Subject

Endocrinology,Endocrinology, Diabetes and Metabolism,Internal Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/dom.13860

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4. A prospective observational study of quality of diabetes care in a shared care setting: trends and age differences (ZODIAC‐19);van HKJ;BMJ Open,2012

5. A review of treatment response in type 2 diabetes: assessing the role of patient heterogeneity

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