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CORRECTION article

Front. Genet., 29 August 2025

Sec. Computational Genomics

Volume 16 - 2025 | https://doi.org/10.3389/fgene.2025.1687832

Correction: Engineering novel features for diabetes complication prediction using synthetic electronic health records

  • 1Computer Engineering Department, Al-Quds University, Jerusalem, Palestine
  • 2Department of Computer Engineering, Faculty of Engineering, Abdullah Gul University, Kayseri, Türkiye
  • 3Department of Information Systems, Zefat Academic College, Zefat, Israel

A Correction on
Engineering novel features for diabetes complication prediction using synthetic electronic health records

by Voskergian D, Bakir-Gungor B and Yousef M (2025). Front. Genet. 16:1451290. doi: 10.3389/fgene.2025.1451290

Incorrect author assigned as Corresponding author

“Author Malik Yousef was erroneously assigned as corresponding author. The correct and sole corresponding author is Daniel Voskergian only.”

The original article has been updated.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: diabetes complications, synthetic electronic health records (EHRs), feature engineering, feature selection, predictive modeling, machine learning, risk prediction

Citation: Voskergian D, Bakir-Gungor B and Yousef M (2025) Correction: Engineering novel features for diabetes complication prediction using synthetic electronic health records. Front. Genet. 16:1687832. doi: 10.3389/fgene.2025.1687832

Received: 18 August 2025; Accepted: 19 August 2025;
Published: 29 August 2025.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2025 Voskergian, Bakir-Gungor and Yousef. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Daniel Voskergian, ZGFuaWVsMnZvc2tAZ21haWwuY29t

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.