Functional near-infrared spectroscopy-based diagnosis support system for distinguishing between mild and severe depression using machine learning approaches-Reference-Cited by-同舟云学术

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

Published:2024-04-24 Issue:02 Volume:11 Page:
ISSN:2329-423X
Container-title:Neurophotonics
language:
Short-container-title:Neurophoton.

Author:

Huang Zhiyong¹,Liu Man¹,Yang Hui²,Wang Mengyao¹,Zhao Yunlan¹,Han Xiao¹,Chen Huan³,Feng Yaju³

Affiliation:

1. Chongqing University, School of Microelectronics and Communication Engineering, Chongqing, China

2. Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing, China

3. Chongqing Mental Health Center, Department of Clinical Psychology, Chongqing, China

Publisher

SPIE-Intl Soc Optical Eng

Reference47 articles.

1. Depression,2023

2. Severity classification on the Hamilton depression rating scale

3. Inappropriate prescriptions of antidepressant drugs in patients with subthreshold to mild depression: Time for the evidence to become practice

4. Solving the Antidepressant Efficacy Question: Effect Sizes in Major Depressive Disorder

5. Aberrant patterns of brain cerebral blood flow in Chinese han first-episode drug-naïve depressive patients with and without a family history of depression

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