Deep learning-based long-term risk evaluation of incident type 2 diabetes using electrocardiogram in a non-diabetic population: a retrospective, multicentre study-Reference-Cited by-同舟云学术

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Deep learning-based long-term risk evaluation of incident type 2 diabetes using electrocardiogram in a non-diabetic population: a retrospective, multicentre study

Published:2024-02 Issue: Volume:68 Page:102445
ISSN:2589-5370
Container-title:eClinicalMedicine
language:en
Short-container-title:eClinicalMedicine

Author:

Kim Junmo^ORCID,Yang Hyun-Lim^ORCID,Kim Su Hwan,Kim Siun,Lee Jisoo,Ryu Jiwon,Kim Kwangsoo,Kim Zio^ORCID,Ahn Gun^ORCID,Kwon Doyun,Yoon Hyung-Jin^ORCID

Funder

National Research Foundation of Korea

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Reference34 articles.

1. Prevention and early detection of vascular complications of diabetes;Marshall;BMJ,2006

2. Microvascular and macrovascular complications of diabetes;Fowler;Clin Diabetes,2008

3. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: results from the international diabetes federation diabetes atlas, 9th ed.;Saeedi;Diabetes Res Clin Pract,2019

4. IDF Diabetes Atlas: global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045;Sun;Diabetes Res Clin Pract,2022

5. WHO Global report on diabetes: a summary;Roglic;Int J Noncommun Dis,2016

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predictive Modelling of Diabetes Complications: Insights from Binary Classifier on Chronic Diabetic Mellitus;2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE);2024-05-09

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