Comparison of Machine Learning Algorithms and Nomogram Construction for Diabetic Retinopathy Prediction in Type 2 Diabetes Mellitus Patients.

Journal: Ophthalmic research

Published Date: Sep 4, 2024

Abstract

INTRODUCTION: The aim of this study was to compare various machine learning algorithms for constructing a diabetic retinopathy (DR) prediction model among type 2 diabetes mellitus (DM) patients and to develop a nomogram based on the best model.

Authors

Weiliang Jiang

Department of Gastroenterology, Shanghai First People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
Zijing Li

Department of Ophthalmology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.

Keywords

Aged Algorithms Cross-Sectional Studies Diabetes Mellitus, Type 2 Diabetic Retinopathy Female Humans Machine Learning Male Middle Aged Nomograms ROC Curve

External Resources

View on PubMed Access via DOI PubMed (39231456)

Comparison of Machine Learning Algorithms and Nomogram Construction for Diabetic Retinopathy Prediction in Type 2 Diabetes Mellitus Patients.

Abstract

Authors

Keywords

External Resources

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