Finding neural signatures for obesity through feature selection on source-localized EEG. (arXiv:2208.14007v2 [cs.LG] UPDATED)

Obesity is a serious issue in the modern society since it associates to a
significantly reduced quality of life. Current research conducted to explore
the obesity-related neurological evidences using electroencephalography (EEG)
data are limited to traditional approaches. In this study, we developed a novel
machine learning model to identify brain networks of obese females using alpha
band functional connectivity features derived from EEG data. An overall
classification accuracy of 0.912 is achieved. Our finding suggests that the
obese brain is …

arxiv feature feature selection obesity