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Enhancing Multi-Center Generalization of Machine Learning-Based Depression Diagnosis From Resting-State fMRI
https://repo.qst.go.jp/records/79999
https://repo.qst.go.jp/records/79999968577b5-62c3-4b15-ae05-10822c94e2f2
| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2020-06-02 | |||||
| タイトル | ||||||
| タイトル | Enhancing Multi-Center Generalization of Machine Learning-Based Depression Diagnosis From Resting-State fMRI | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| アクセス権 | ||||||
| アクセス権 | metadata only access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
| 著者 |
Nakano, Takashi
× Nakano, Takashi× Takamura, Masahiro× Ichikawa, Naho× Okada, Go× Okamoto, Yasumasa× Yamada, Makiko× Suhara, Tetsuya× Yamawaki, Shigeto× Yoshimoto, Junichiro× Yamada, Makiko× Suhara, Tetsuya |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | esting-state fMRI has the potential to find abnormal behavior in brain activity and to diagnose patients with depression. However, resting-state fMRI has a bias depending on the scanner site, which makes it difficult to diagnose depression at a new site. In this paper, we propose methods to improve the performance of diagnosis of major depressive disorder (MDD) at an independent site by reducing the site bias effects using regression. For this, we used a subgroup of healthy subjects of the independent site to regress out site bias. We further improved the classification performance of patients with depression by focusing on melancholic depressive disorder. Our proposed methods would be useful to apply depression classifiers to subjects at completely new site. | |||||
| 書誌情報 |
Front. Psychiatry 巻 11, p. 400-1, 発行日 2020-05 |
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| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 1664-0640 | |||||
| PubMed番号 | ||||||
| 識別子タイプ | PMID | |||||
| 関連識別子 | 32547427 | |||||
| DOI | ||||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | 10.3389/fpsyt.2020.00400 | |||||
| 関連サイト | ||||||
| 識別子タイプ | URI | |||||
| 関連識別子 | https://www.frontiersin.org/articles/10.3389/fpsyt.2020.00400/full | |||||
