CORRECTION article
Front. Genet.
Sec. Computational Genomics
Volume 16 - 2025 | doi: 10.3389/fgene.2025.1687832
Correction: Engineering novel features for diabetes complication prediction using synthetic electronic health records
Provisionally accepted
- 1Al-Quds University, Jerusalem, Palestine
- 2Zefat Academic College, Safed, Israel
- 3Abdullah Gul Universitesi, Kayseri, Türkiye
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Correction: Engineering novel features for diabetes complication prediction using synthetic electronic health records Corresponding author 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 version of this article has been updated.
Keywords: Diabetes Complications, synthetic electronic health records (EHRs), Feature engineering, Feature Selection, Predictive Modeling, Machinelearning, risk prediction
Received: 18 Aug 2025; Accepted: 19 Aug 2025.
Copyright: © 2025 Voskergian, Yousef and Bakir-Gungor. 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) or licensor 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, Al-Quds University, Jerusalem, Palestine
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