Discussion on: Applications of Deep Learning in Predicting the Risk of Metabolic Syndrome from Lifestyle and Behavioral Factors: A Scoping Review

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Article Title

Applications of Deep Learning in Predicting the Risk of Metabolic Syndrome from Lifestyle and Behavioral Factors: A Scoping Review

Authored by

Oluwatope R. Ojo
Department of Mathematics & Statistics, East Tennessee State University, Johnson City, Tennessee, United States.

Victor T. Aderanti
Department of Mathematics & Statistics, East Tennessee State University, Johnson City, Tennessee, United States.

Joseph Chimezie
Epigenetics and Molecular Biology Laboratory, Federal University of Technology, Akure, Nigeria and Department of Physiology, School of Basic Medical Sciences, Federal University of Technology, Akure, Nigeria.

Worship O. Agbonifo
Epigenetics and Molecular Biology Laboratory, Federal University of Technology, Akure, Nigeria and Department of Physiology, School of Basic Medical Sciences, Federal University of Technology, Akure, Nigeria.

Mercy O. Awoleye
Epigenetics and Molecular Biology Laboratory, Federal University of Technology, Akure, Nigeria and Department of Physiology, School of Basic Medical Sciences, Federal University of Technology, Akure, Nigeria.

Hope O. Francis
Epigenetics and Molecular Biology Laboratory, Federal University of Technology, Akure, Nigeria and Department of Physiology, School of Basic Medical Sciences, Federal University of Technology, Akure, Nigeria.

Temitope G. Adedeji
Epigenetics and Molecular Biology Laboratory, Federal University of Technology, Akure, Nigeria and Department of Physiology, School of Basic Medical Sciences, Federal University of Technology, Akure, Nigeria.

DOI or Article Link

https://doi.org/10.9734/arrb/2025/v40i82283

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