Effectiveness of an Internet-Based Machine-Guided Stress Management Program Based on Cognitive Behavioral Therapy for Improving Depression Among Workers: Protocol for a Randomized Controlled Trial.

Kawakami, Norito; Imamura, Kotaro; Watanabe, Kazuhiro; Sekiya, Yuki; Sasaki, Natsu; Sato, Nana

Kawakami, Norito; Imamura, Kotaro; Watanabe, Kazuhiro; Sekiya, Yuki; Sasaki, Natsu; Sato, Nana.

Afiliação

Kawakami N; Department of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Imamura K; Department of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Watanabe K; Department of Public Health, Kitasato University School of Medicine, Sagamihara, Japan.
Sekiya Y; Department of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Sasaki N; Department of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Sato N; Department of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

JMIR Res Protoc ; 10(9): e30305, 2021 Sep 29.

Article em En | MEDLINE | ID: mdl-34460414

Palavras-chave

deep learning; depression; machine learning; unguided intervention; universal prevention; workplace

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Evaluation_studies / Guideline / Prognostic_studies Idioma: En Revista: JMIR Res Protoc Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Japão

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