A machine learning framework involving EEG-based functional connectivity to diagnose major depressive disorder (MDD)

• Main Authors: Mumtaz, W., Ali, S.S.A., Yasin, M.A.M., Malik, A.S.
• Format: Article
• Published: Springer Verlag 2018
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85023175534&doi=10.1007%2fs11517-017-1685-z&partnerID=40&md5=08a959277e51f50b7ced0939c6ab3bd4; http://eprints.utp.edu.my/21811/
• Institution: Universiti Teknologi Petronas

Major depressive disorder (MDD), a debilitating mental illness, could cause functional disabilities and could become a social problem. An accurate and early diagnosis for depression could become challenging. This paper proposed a machine learning framework involving EEG-derived synchronization likel...