The processing of negative emotions is closely related to the occurrence of depression, and improving the mood of patients with depression has an important effect on improving symptoms. An article recently published in Progress in Neuro-Psychopharmacology & Biological Psychiatry applies deep learning to the diagnosis and treatment of depression patients, combined with music-assisted rehabilitation to help depression patients recover. Moreover, this paper strengthens deep learning, combines the psychological characteristics of depression to improve the algorithm, and analyzes the algorithm with music-assisted rehabilitation, and obtains an intelligent algorithm that can be applied to the music-assisted rehabilitation system. Finally, this paper constructs an online music-assisted rehabilitation system for depression based on deep learning. The results of the experimental research show that the online music-assisted rehabilitation system for depression based on deep learning can play an important role in the treatment of depression. (PsycInfo Database Record (c) 2022 APA, all rights reserved)
Post a comment
Comments are moderated, and will not appear until the author has approved them.
Your Information
(Name and email address are required. Email address will not be displayed with the comment.)
Comments