Predicting the longitudinal efficacy of medication for depression using electroencephalography and machine learning.
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| Title: | Predicting the longitudinal efficacy of medication for depression using electroencephalography and machine learning. |
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| 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., Huang HL; Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan., Lin TP; Department of Electrical Engineering, National Central University, Taoyuan, 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: | Journal of psychiatric research [J Psychiatr Res] 2025 Oct; Vol. 190, pp. 372-379. Date of Electronic Publication: 2025 Aug 11. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Pergamon Press Country of Publication: England NLM ID: 0376331 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1379 (Electronic) Linking ISSN: 00223956 NLM ISO Abbreviation: J Psychiatr Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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