Correction: Engineering Novel Features for Diabetes Complication Prediction Using Synthetic Electronic Health Records
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Date
2025
Journal Title
Journal ISSN
Volume Title
Publisher
Frontiers Media S.A.
Open Access Color
GOLD
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
BIP! Indicators
Impulse
Average
Influence
Average
Popularity
Average
Abstract
Description
Keywords
Diabetes Complications, Synthetic Electronic Health Records (EHRS), Feature Engineering, Feature Selection, Predictive Modeling, Machine Learning, Risk Prediction, Genetics
Fields of Science
Citation
WoS Q
Q2
Scopus Q
Q2
OpenCitations Citation Count
N/A
Source
Frontiers in Genetics
Volume
16
Issue
Start Page
End Page
PlumX Metrics
Citations
Scopus : 0
Captures
Mendeley Readers : 3
Page Views
3
checked on Mar 05, 2026
Google Scholar™
OpenAlex FWCI
0.0
Sustainable Development Goals
3
GOOD HEALTH AND WELL-BEING
