M, P., A, B., DM, G., & S, O. (2026). Machine learning classification of patients after suicide attempts using demographic data, EEG connectivity and heart rate variability. Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 188, 2111904. https://doi.org/10.1016/j.clinph.2026.2111904
Chicago Style (17th ed.) CitationM, Pribis, Bankwitz A, Gyurkó DM, and Olbrich S. "Machine Learning Classification of Patients After Suicide Attempts Using Demographic Data, EEG Connectivity and Heart Rate Variability." Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology 188 (2026): 2111904. https://doi.org/10.1016/j.clinph.2026.2111904.
MLA (9th ed.) CitationM, Pribis, et al. "Machine Learning Classification of Patients After Suicide Attempts Using Demographic Data, EEG Connectivity and Heart Rate Variability." Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology, vol. 188, 2026, p. 2111904, https://doi.org/10.1016/j.clinph.2026.2111904.