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Discriminating between bipolar and major depressive disorder using a machine learning approach and resting-state EEG data.
Ravan, M; Noroozi, A; Sanchez, M Margarette; Borden, L; Alam, N; Flor-Henry, P; Hasey, G.
Affiliation
  • Ravan M; Department of Electrical and Computer Engineering, New York Institute of Technology, New York, NY, USA. Electronic address: mravan@nyit.edu.
  • Noroozi A; Department of Digital, Technologies, and Arts, Staffordshire University, Staffordshire, England, UK.
  • Sanchez MM; Department of Biomedical Engineering, New York Institute of Technology, New York, NY, USA.
  • Borden L; Department of Electrical and Computer Engineering, New York Institute of Technology, New York, NY, USA.
  • Alam N; Department of Electrical and Computer Engineering, New York Institute of Technology, New York, NY, USA.
  • Flor-Henry P; Alberta Hospital, Edmonton, AB, Canada(1).
  • Hasey G; Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.
Clin Neurophysiol ; 146: 30-39, 2023 Feb.
Article in En | MEDLINE | ID: mdl-36525893
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bipolar Disorder / Depressive Disorder, Major Type of study: Prognostic_studies Limits: Humans Language: En Journal: Clin Neurophysiol Journal subject: NEUROLOGIA / PSICOFISIOLOGIA Year: 2023 Document type: Article Country of publication: Países Bajos
Fulltext
Add to My VHL
Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bipolar Disorder / Depressive Disorder, Major Type of study: Prognostic_studies Limits: Humans Language: En Journal: Clin Neurophysiol Journal subject: NEUROLOGIA / PSICOFISIOLOGIA Year: 2023 Document type: Article Country of publication: Países Bajos