An artificial intelligence decision support system for the management of type 1 diabetes-Reference-Cited by-同舟云学术

An artificial intelligence decision support system for the management of type 1 diabetes

Published:2020-06-01 Issue:7 Volume:2 Page:612-619
ISSN:2522-5812
Container-title:Nature Metabolism
language:en
Short-container-title:Nat Metab

Author:

Tyler Nichole S.^ORCID,Mosquera-Lopez Clara M.,Wilson Leah M.^ORCID,Dodier Robert H.,Branigan Deborah L.,Gabo Virginia B.,Guillot Florian H.,Hilts Wade W.,El Youssef Joseph,Castle Jessica R.,Jacobs Peter G.^ORCID

Funder

Leona M. and Harry B. Helmsley Charitable Trust

U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases

Dexcom

Publisher

Springer Science and Business Media LLC

Subject

Cell Biology,Physiology (medical),Endocrinology, Diabetes and Metabolism,Internal Medicine

Link

http://www.nature.com/articles/s42255-020-0212-y.pdf

Reference35 articles.

1. Paris, C. A. et al. Predictors of insulin regimens and impact on outcomes in youth with type 1 diabetes: the SEARCH for diabetes in youth study. J. Pediatr. 155, 183–189.e1 (2009).

2. Miller, K. M. et al. Current state of type 1 diabetes treatment in the U.S.: updated data from the T1D Exchange clinic registry. Diabetes Care 38, 971–978 (2015).

3. Resalat, N., El Youssef, J., Tyler, N., Castle, J. & Jacobs, P. G. A statistical virtual patient population for the glucoregulatory system in type 1 diabetes with integrated exercise model. PLoS One 14, e0217301 (2019).

4. Cover, T. & Hart, P. Nearest neighbor pattern classification. IEEE Trans. Inf. Theor. 13, 21–27 (2006).

5. Nimri, R. et al. Adjusting insulin doses in patients with type 1 diabetes who use insulin pump and continuous glucose monitoring: Variations among countries and physicians. Diabetes Obes. Metab. 20, 2458–2466 (2018).

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