Retinopathy prediction in type 2 diabetes: Time-varying Cox proportional hazards and machine learning models-Reference-Cited by-同舟云学术

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Retinopathy prediction in type 2 diabetes: Time-varying Cox proportional hazards and machine learning models

Published:2023 Issue: Volume:40 Page:101285
ISSN:2352-9148
Container-title:Informatics in Medicine Unlocked
language:en
Short-container-title:Informatics in Medicine Unlocked

Author:

Looareesuwan Panu^ORCID,Boonmanunt Suparee^ORCID,Siriyotha Sukanya^ORCID,Lukkunaprasit Thitiya^ORCID,Thammasudjarit Ratchainant^ORCID,Pattanaprateep Oraluck^ORCID,Nimitphong Hataikarn^ORCID,Reutrakul Sirimon^ORCID,Attia John^ORCID,McKay Gareth^ORCID,Thakkinstian Ammarin^ORCID

Funder

National Research Council of Thailand

Publisher

Elsevier BV

Subject

Health Informatics

Reference58 articles.

1. Causes of vision loss worldwide, 1990–2010: a systematic analysis;Bourne;Lancet Global Health,2013

2. Diabetic retinopathy: current understanding, mechanisms, and treatment strategies;Duh;JCI Insight,2017

3. Global prevalence of diabetic retinopathy and projection of burden through 2045: systematic review and meta-analysis;Teo;Ophthalmology,2021

4. Global data on visual impairment in the year 2002;Resnikoff;Bull World Health Organ,2004

5. Direct medical cost associated with diabetic retinopathy severity in type 2 diabetes in Singapore;Zhang;PLoS One,2017

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. Drug Exposure As a Predictor in Diabetic Retinopathy Risk Prediction Models—A Systematic Review and Meta-Analysis;American Journal of Ophthalmology;2024-12

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