Improving the diagnostic accuracy for major depressive disorder using machine learning algorithms integrating clinical and near-infrared spectroscopy data

• Main Authors: Ho, C.S., Chan, Y.L., Tan, T.W., Tay, G.W., Tang, T.B.
• Format: Article
• Published: Elsevier Ltd 2022
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122960799&doi=10.1016%2fj.jpsychires.2022.01.026&partnerID=40&md5=123f2b7c1ae89fa6a7092f0c8ef150f9; http://eprints.utp.edu.my/28624/

Background: Given that major depressive disorder (MDD) is both biologically and clinically heterogeneous, a diagnostic system integrating neurobiological markers and clinical characteristics would allow for better diagnostic accuracy and, consequently, treatment efficacy. Objective: Our study aimed...