Value of machine learning algorithms for predicting diabetes risk: A subset analysis from a real‐world retrospective cohort study-Reference-Cited by-同舟云学术

Value of machine learning algorithms for predicting diabetes risk: A subset analysis from a real‐world retrospective cohort study

Published:2022-11-07 Issue:2 Volume:14 Page:309-320
ISSN:2040-1116
Container-title:Journal of Diabetes Investigation
language:en
Short-container-title:J of Diabetes Invest

Author:

Mao Yaqian¹^ORCID,Zhu Zheng²^ORCID,Pan Shuyao²,Lin Wei²^ORCID,Liang Jixing²,Huang Huibin²,Li Liantao²,Wen Junping²^ORCID,Chen Gang²³^ORCID

Affiliation:

1. Department of Internal Medicine, Fujian Provincial Hospital South Branch Shengli Clinical Medical College of Fujian Medical University Fuzhou China

2. Department of Endocrinology, Fujian Provincial Hospital Shengli Clinical Medical College of Fujian Medical University Fuzhou China

3. Fujian Provincial Key Laboratory of Medical Analysis, Fujian Academy of Medical Fuzhou China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province

Publisher

Wiley

Subject

General Medicine,Endocrinology, Diabetes and Metabolism,Internal Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jdi.13937

Reference46 articles.

1. IDF Diabetes Atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045

2. IDF diabetes Atlas: Global estimates of undiagnosed diabetes in adults for 2021

3. Artificial Intelligence Applications in Type 2 Diabetes Mellitus Care: Focus on Machine Learning Methods

4. Systematic Review of Data Mining Applications in Patient-Centered Mobile-Based Information Systems

5. Continual learning in medical devices: FDA's action plan and beyond

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