Applications of Deep Learning in Predicting the Risk of Metabolic Syndrome from Lifestyle and Behavioral Factors: A Scoping Review
Oluwatope R. Ojo, Victor T. Aderanti, Joseph Chimezie, Worship O. Agbonifo, Mercy O. Awoleye, Hope O. Francis & Temitope G. Adedeji · Annual Research & Review in Biology · 2025
Background: Metabolic syndrome (MetS) affects roughly one quarter of the world’s adults and dramatically heightens cardiometabolic morbidity, mortality, and healthcare costs. Because the syndrome is heavily driven by modifiable lifestyle and behavioural factors, risk stratificati...
Open access
Research Article
10.9734/arrb/2025/v40i82283