Abstract
Depression is the second leading cause of disability in the world and has become one of the most prevalent mental illnesses in the world. Due to the high recurrence rate of depression and the fact that it is a disease that can be accompanied by the development of suicidal and bipolar tendencies, it is a great challenge to society and the financial and energy resources of hospital patients' families. However, there is no complete diagnosis and treatment system for depression, so this paper is committed to comprehensively review the contributions of the current studies of the depression diagnosis and treatment in the field of neural activity analysis, machine learning detection technology and neuromodulation, and discusses the development of prediction-diagnosis-treatment path in the future.
Published Version
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