A Metabolism-Based Interpretable Machine Learning Prediction Model for Diabetic Retinopathy Risk: A Cross-Sectional Study in Chinese Patients with Type 2 Diabetes.

Authors:
Zong GW; Wang WY; Zheng J; Zhang W; Luo WM and 2 more

Journal:
J Diabetes Res

Publication Year: 2023

DOI:
10.1155/2023/3990035

PMCID:
PMC10205414

PMID:
37229505

Journal Information

Full Title: J Diabetes Res

Abbreviation: J Diabetes Res

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Endocrinology

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
3/6
50.0% Transparent
Transparency Indicators
Click on green indicators to view evidence text
Core Indicators
Data Sharing
Code Sharing
Evidence found in paper:

"Conflicts of Interest The authors declare that there is no conflict of interest regarding the publication of this paper."

Evidence found in paper:

"This work was supported by the National Key Research and Development Program of China (2021YFA1301202), the National Natural Science Foundation of China (82273676), and the Liaoning Province Scientific and Technological Project (2021JH2/10300039). The authors thank all the doctors, nurses, and research staff at the LMUFAH in Jinzhou, for their participation in this study."

Protocol Registration
Open Access
Paper is freely available to read
Additional Indicators
Replication
Novelty Statement
Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025