Prediction of the 10-year incidence of type 2 diabetes mellitus based on advanced anthropometric indices using machine learning methods in the Iranian population-Reference-Cited by-同舟云学术

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Prediction of the 10-year incidence of type 2 diabetes mellitus based on advanced anthropometric indices using machine learning methods in the Iranian population

Published:2024-08 Issue: Volume:214 Page:111755
ISSN:0168-8227
Container-title:Diabetes Research and Clinical Practice
language:en
Short-container-title:Diabetes Research and Clinical Practice

Author:

Hafezi Somayeh Ghiasi,Saberi-Karimian Maryam,Ghasemi Morteza,Ghamsary Mark,Moohebati Mohsen,Esmaily Habibollah^ORCID,Maleki Saba,Ferns Gordon A.,Alinezhad-Namaghi Maryam^ORCID,Ghayour-Mobarhan Majid

Funder

Mashhad University of Medical Sciences

Publisher

Elsevier BV

Reference47 articles.

1. Type 2 diabetes mellitus: Prevalence and risk factors;Robertson;UpToDate,2021

2. Centers for Disease Control and Prevention. Type 2 Diabetes [updated April 18, 2023; cited 2024 06/05]. Available from: https://www.cdc.gov/diabetes/basics/type2.html.

3. International Diabetes Federation. IDF diabetes atlas. 1st edn. Brussels, Belgium: International Diabetes Federation; 2000. Available at: https://www.diabetesatlas.org.

4. Atlas D. IDF diabetes atlas. International Diabetes Federation (9th editio) Retrieved from http://www idf org/about-diabetes/facts-figures. 2019.

5. Complications of type 2 diabetes in Iranian population: An updated systematic review and meta-analysis;Moradi;Diabetes Metab Syndr,2019

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