Predicting symptom worsening in remitted depression on maintenance pharmacotherapy using digital biomarkers: A prognostic modeling study using machine learning

Authors

Yoshitake Kitanishi (ORCID: https://orcid.org/0000-0002-3528-3990)
Satoki Fujita (ORCID: https://orcid.org/0000-0002-0107-4402)
Aran Tajika
Yuki Yoshida (ORCID: https://orcid.org/0000-0002-5973-3546)
Junichiro Yoshimoto (ORCID: https://orcid.org/0000-0001-7995-0321)
Ryo Kiguchi (ORCID: https://orcid.org/0009-0007-7690-2851)
Toshi A. Furukawa (ORCID: https://orcid.org/0000-0003-2159-3776)
Ayano Hata

Institutions

Kyoto University (JP)
Shionogi (Japan) (JP)
Nara Institute of Science and Technology (JP)
Futaba (Japan) (JP)

Publication Details

Journal: Journal of Affective Disorders
Published: 2025-06-19
DOI: https://doi.org/10.1016/j.jad.2025.119703
Primary Topic: Digital Mental Health Interventions
Type: article
Field-Weighted Citation Impact: 0.00

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article

Predicting symptom worsening in remitted depression on maintenance pharmacotherapy using digital biomarkers: A prognostic modeling study using machine learning

Yoshitake Kitanishi, Satoki Fujita, Aran Tajika, Yuki Yoshida et al.

Jun 19, 2025

Journal of Affective Disorders

Digital Mental Health Interventions

article

Predicting symptom worsening in remitted depression on maintenance pharmacotherapy using digital biomarkers: A prognostic modeling study using machine learning

Yoshitake Kitanishi, Satoki Fujita, Aran Tajika, Yuki Yoshida, Junichiro Yoshimoto, Ryo Kiguchi, Toshi A. Furukawa, Ayano Hata

June 19, 2025article en

Abstract

No abstract available for this paper.

Journal of Affective DisordersVol. 389

Kyoto University (JP), Shionogi (Japan) (JP), Nara Institute of Science and Technology (JP), Futaba (Japan) (JP)

Openalex Percentile: Top 84%

Digital Mental Health Interventions

DOI Open Access PDF OpenAlex

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