Functional near-infrared spectroscopy-based diagnosis support system for distinguishing between mild and severe depression using machine learning approaches

Early diagnosis of depression is crucial for effective treatment. Our study utilizes functional near-infrared spectroscopy (fNIRS) and machine learning to accurately classify mild and severe depression, providing an objective auxiliary diagnostic tool for mental health workers. Develop prediction mo...

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Veröffentlicht in:	Neurophotonics (Print) Jg. 11; H. 2; S. 025001
Hauptverfasser:	Huang, Zhiyong, Liu, Man, Yang, Hui, Wang, Mengyao, Zhao, Yunlan, Han, Xiao, Chen, Huan, Feng, Yaju
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Society of Photo-Optical Instrumentation Engineers 01.04.2024 SPIE
Schlagworte:	Infrared spectroscopy Machine learning Medical research Medicine, Experimental Mental health Mental illness Research Papers CEEMDAN-WPT machine learning functional near-infrared spectroscopy severity of depression
ISSN:	2329-423X, 2329-4248
Online-Zugang:	Volltext
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