Machine learning-based classifying of risk-takers and risk-aversive individuals using resting-state EEG data: A pilot feasibility study.

Reza EyvazpourFarhad Farkhondeh Tale NaviElmira ShakeriBehzad NikzadSoomaayeh Heysieattalab

Published in: Brain and behavior (2023)

The findings of this study demonstrate the potential of using intelligent (ML-based) systems in distinguish between risk-taking and risk-averse managers using biological signals.

Keyphrases

resting state
functional connectivity
machine learning
big data
working memory
electronic health record
deep learning