Advanced search
Publication Cover
Diabetes, Metabolic Syndrome and Obesity Volume 15, 2022 - Issue
Submit an article Journal homepage
213
Views
7
CrossRef citations to date
0
Altmetric
ORIGINAL RESEARCH

Nomogram for Prediction of Diabetic Retinopathy Among Type 2 Diabetes Population in Xinjiang, China

Yongsheng Li1 College of Public Health, Xinjiang Medical University, Urumqi, 830011, People’s Republic of ChinaView further author information
,
Cheng Li2 Center for Data Statistics and Analysis, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People’s Republic of ChinaView further author information
,
Shi Zhao3 JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, 999077, People’s Republic of ChinaORCID Iconhttps://orcid.org/0000-0001-8722-6149View further author information
ORCID Icon,
Yi Yin4 Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, 211166, People’s Republic of ChinaView further author information
,
Xueliang Zhang5 Department of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, 830011, People’s Republic of ChinaCorrespondence[email protected] [email protected]
View further author information
&
Kai Wang5 Department of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, 830011, People’s Republic of ChinaView further author information
Pages 1077-1089 | Published online: 07 Apr 2022

Reprints and Permissions

Permission is granted subject to the terms of the License under which the work was published. Permission will be required if your reuse is not covered by the terms of the License.

To request a reprint or commercial or derivative permissions for this article, please click on the relevant link below.

Order Reprints Request Permissions

For more information please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.