Improving the diagnostic accuracy for major depressive disorder using machine learning algorithms integrating clinical and near-infrared spectroscopy data
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...
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| Main Authors: | , , , , |
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| Format: | Article |
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Elsevier Ltd
2022
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| 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/ |
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