Using Machine Learning Techniques to Develop Risk Prediction Models for the Risk of Incident Diabetic Retinopathy Among Patients With Type 2 Diabetes Mellitus: A Cohort Study

Using Machine Learning Techniques to Develop Risk Prediction Models for the Risk of Incident Diabetic Retinopathy Among Patients With Type 2 Diabetes Mellitus: A Cohort Study

ObjectiveTo construct and validate prediction models for the risk of diabetic retinopathy (DR) in patients with type 2 diabetes mellitus.MethodsPatients with type 2 diabetes mellitus hospitalized over the period between January 2010 and September 2018 were retrospectively collected. Eighteen baselin...

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Bibliographic Details
Main Authors: Yuedong Zhao, Xinyu Li, Shen Li, Mengxing Dong, Han Yu, Mengxian Zhang, Weidao Chen, Peihua Li, Qing Yu, Xuhan Liu, Zhengnan Gao
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Endocrinology
Subjects:
type 2 diabetes mellitus
diabetic retinopathy
machine learning
XGBoost model
cohort study
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2022.876559/full

Internet

https://www.frontiersin.org/articles/10.3389/fendo.2022.876559/full

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