Resolution of Expression of Concern: A Hybrid Machine Learning Approach for Enhanced Diabetes Prediction: Integrating Image and Numerical Data

Abstract

Resolution of Expression of Concern

DOI of this Notice: https://doi.org/10.58496/MJBD/2026/019

Original Article: https://doi.org/10.58496/MJBD/2025/014

Expression of Concern: https://doi.org/10.58496/MJBD/2026/012

Title: A Hybrid Machine Learning Approach for Enhanced Diabetes Prediction: Integrating Image and Numerical Data

Following the publication of the article, A Hybrid Machine Learning Approach for Enhanced Diabetes Prediction: Integrating Image and Numerical Data, published 2025-09-20 an Expression of Concern was issued by the Mesopotamian Journal of Big Data on 2026-03-03 to alert our readers to concerns regarding methodology, data provenance, and reported outcomes to confirm their reliability and reproducibility

The editorial team of the Mesopotamian Journal of Big Data has completed a thorough post-publication review of the article, the supporting data, and the authors' responses to the queries raised.

Upon careful assessment, we have determined that the concerns have been addressed and clarified to the satisfaction of the editors. We have found no evidence of misconduct or invalidity in the research. The findings presented in the original article are considered robust and accurate.

This notice formally resolves the previously published Expression of Concern. The original article stands as published, and we affirm the integrity of the research.

The Mesopotamian Journal of Big Data thanks the readers who brought these matters to our attention, as well as the authors for their cooperation during the review process.