Machine learning classification of patients after suicide attempts using demographic data, EEG connectivity and heart rate variability.
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| Title: | Machine learning classification of patients after suicide attempts using demographic data, EEG connectivity and heart rate variability. |
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| Authors: | Pribis M; University of Zurich, Psychiatric University Hospital Zurich, Department of Psychiatry, Psychotherapy and Psychosomatics, Zurich, Switzerland. Electronic address: matej.pribis@pukzh.ch., Bankwitz A; University of Zurich, Psychiatric University Hospital Zurich, Department of Psychiatry, Psychotherapy and Psychosomatics, Zurich, Switzerland., Gyurkó DM; Neurocenter, Luzerner Kantonsspital, Lucerne, Switzerland., Olbrich S; University of Zurich, Psychiatric University Hospital Zurich, Department of Psychiatry, Psychotherapy and Psychosomatics, Zurich, Switzerland. |
| Source: | Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology [Clin Neurophysiol] 2026 Aug; Vol. 188, pp. 2111904. Date of Electronic Publication: 2026 Apr 26. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 100883319 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-8952 (Electronic) Linking ISSN: 13882457 NLM ISO Abbreviation: Clin Neurophysiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1872-8952 |
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| DOI: | 10.1016/j.clinph.2026.2111904 |
