A novel machine learning approach to shorten depression risk assessment for convenient uses

Author:

Sun Yuan Hong,Liu Qijian,Lee Nathan Yee,Li Xiaohong,Lee Kang

Publisher

Elsevier BV

Subject

Psychiatry and Mental health,Clinical Psychology

Reference31 articles.

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2. BCELoss, 2019. Retrieved from PyTorch:https://pytorch.org/docs/stable/generated/torch.nn.BCELoss.html.

3. An inventory for measuring depression;Beck;Arch. Gen. Psychiatry,1961

4. Prevalence of symptoms of depression, anxiety, insomnia, posttraumatic stress disorder, and psychological distress among populations affected by the COVID-19 pandemic: a systematic review and meta-analysis;Cénat;Psychiatry Res.,2021

5. A review and meta-analysis of machine intelligence approaches for mental health issues and depression detection;Chahar;Int. J. Adv. Technol. Eng. Explor.,2021

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