AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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SYNERGY-VAE: An explainable generative deep learning framework for discovering depression subgroups from multimodal population health data
Depression represents a complex, multifactorial disorder influenced by the interplay of biological, behavioral, and social determinants. While extensive health surveys, including the National Health and Nutrition Examination Survey (NHANES), gather comprehensive multidomain data, existing studies tend to analyze these...
ORIGINALARTICLE Examining the links between COVID-19 seropositivity, metabolic syndrome and depressive symptoms: evidence from ENSANUT 2021 – 2022
Examination of the independent and combined effects of COVID-19 seropositivity and metabolic syndrome on depressive symptoms, considering demographic and health-related factors concluded that the former was associated with higher odds of depressive symptoms and the latter with increased CESD-7 scores.