Machine learning approaches for diagnosing depression using EEG: A review.
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ABSTRACT:
SUBMITTER: Liu Y
PROVIDER: S-EPMC9375981 | biostudies-literature | 2022 Jan
REPOSITORIES: biostudies-literature
Publications
Machine learning approaches for diagnosing depression using EEG: A review.
Liu Yuan Y Pu Changqin C Xia Shan S Deng Dingyu D Wang Xing X Li Mengqian M
Translational neuroscience 20220101 1
Depression has become one of the most crucial public health issues, threatening the quality of life of over 300 million people throughout the world. Nevertheless, the clinical diagnosis of depression is now still hampered by behavioral diagnostic methods. Due to the lack of objective laboratory diagnostic criteria, accurate identification and diagnosis of depression remained elusive. With the rise of computational psychiatry, a growing number of studies have combined resting-state electroencepha ...[more]
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