Multimodal machine learning for major depressive disorder: Integrating EEG functional connectivity and clinical variables to enhance diagnostic accuracy.

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Bibliographic Details
Title: Multimodal machine learning for major depressive disorder: Integrating EEG functional connectivity and clinical variables to enhance diagnostic accuracy.
Authors: Huang SS; Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; School of Public Health and Graduate Institute of Public Health, College of Public Health, National Defense Medical University, Taipei, Taiwan; Nankung psychiatric Hospital, Keelung, Taiwan., Chen JP; Department of Psychiatry, Beitou Branch, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan., Lin TP; Department of Electrical Engineering, National Central University, Taoyuan, Taiwan., Tsai YT; School of Medicine, China Medical University Hospital, Taichung, Taiwan., Kuo PH; Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan; Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan; Psychiatric Research Center, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan., Hou PH; Department of psychiatry, Taichung Veterans General Hospital, Taichung, Taiwan; Post-Baccalaureate Medicine, National Chung Hsing University, Taichung, Taiwan., Peng SJ; In-Service Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan. Electronic address: sjpeng2019@tmu.edu.tw.
Source: Psychiatry research [Psychiatry Res] 2026 Jun; Vol. 360, pp. 117090. Date of Electronic Publication: 2026 Mar 11.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier/North-Holland Biomedical Press Country of Publication: Ireland NLM ID: 7911385 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7123 (Electronic) Linking ISSN: 01651781 NLM ISO Abbreviation: Psychiatry Res Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1872-7123
DOI:10.1016/j.psychres.2026.117090