Functional near-infrared spectroscopy-based diagnosis support system for distinguishing between mild and severe depression using machine learning approaches
Zhiyong Huang,
Man Liu,
Hui Yang
et al.
Abstract:.
Significance
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.
Aim
Develop prediction models to distinguish between severe and mild depression using fNIRS data.
Approach
We collected the fNIRS data from… Show more
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