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Authors’ Response to Peer Reviews of “Machine Learning–Based Hyperglycemia Prediction: Enhancing Risk Assessment in a Cohort of Undiagnosed Individuals”

Authors’ Response to Peer Reviews of “Machine Learning–Based Hyperglycemia Prediction: Enhancing Risk Assessment in a Cohort of Undiagnosed Individuals”

[doi: 10.1038/s41598-023-41545-z] [Medline: 37661211] Farghaly HM, Shams MY, El-Hafeez TA. Hepatitis C Virus prediction based on machine learning framework: a real-world case study in Egypt. Knowledge Inf Syst. Mar 2, 2023;65:2595-2617. [doi: 10.1007/s10115-023-01851-4] Response: The suggested articles have been reviewed and cited in the manuscript accordingly. This paper introduces an ML methodology for predicting hyperglycemia in one of the cohorts taken from a suburban Nigerian region.

Kolapo Oyebola, Funmilayo Ligali, Afolabi Owoloye, Blessing Erinwusi, Yetunde Alo, Adesola Z Musa, Oluwagbemiga Aina, Babatunde Salako

JMIRx Med 2024;5:e60174