Diagnosis of major depressive disorder by combining multimodal information from heart rate dynamics and serum proteomics using machine-learning algorithm

• Published in: Progress in neuro-psychopharmacology & biological psychiatry Vol. 76; pp. 65 - 71
• Main Authors: Kim, Eun Young, Lee, Min Young, Kim, Se Hyun, Ha, Kyooseob, Kim, Kwang Pyo, Ahn, Yong Min
• Format: Journal Article
• Language: English
• Published: England Elsevier Inc 02.06.2017
• Subjects: Adult; Biomarker; Biomarkers; Depressive Disorder, Major - blood; Depressive Disorder, Major - diagnosis; Depressive Disorder, Major - physiopathology; Female; Heart Rate - physiology; Heart rate variability; Humans; Machine Learning; Major depressive disorder; Middle Aged; Proteome - metabolism; Proteomics; Biomarker; Heart rate variability; Machine-learning; Major depressive disorder; Proteomics

Major depressive disorder (MDD) is a systemic and multifactorial disorder that involves abnormalities in multiple biochemical pathways and the autonomic nervous system. This study applied a machine-learning method to classify MDD and control groups by incorporating data from serum proteomic analysis...