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Open Access
Peer-reviewed
Research Article
The potential of the transformer-based survival analysis model, SurvTrace, for predicting recurrent cardiovascular events and stratifying high-risk patients with ischemic heart disease
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Hiroki Shinohara,
Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Writing – original draft
Affiliation Department of Cardiovascular Medicine, University of Tokyo, Tokyo, Japan
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Satoshi Kodera ,
Roles Conceptualization, Project administration, Supervision, Writing – review & editing
* E-mail: koderasatoshi@gmail.com
Affiliation Department of Cardiovascular Medicine, University of Tokyo, Tokyo, Japan
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Yugo Nagae,
Roles Data curation
Affiliation Department of Planning, Information and Management, University of Tokyo, Tokyo, Japan
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Takashi Hiruma,
Roles Data curation
Affiliation Department of Cardiovascular Medicine, University of Tokyo, Tokyo, Japan
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Atsushi Kobayashi,
Roles Data curation
Affiliation Department of Cardiovascular Medicine, University of Tokyo, Tokyo, Japan
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Masataka Sato,
Roles Data curation
Affiliation Department of Cardiovascular Medicine, University of Tokyo, Tokyo, Japan
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Shinnosuke Sawano,
Roles Data curation
Affiliation Department of Cardiovascular Medicine, University of Tokyo, Tokyo, Japan
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Tatsuya Kamon,
Roles Data curation
Affiliation Department of Cardiovascular Medicine, University of Tokyo, Tokyo, Japan
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Koichi Narita,
Roles Data curation
Affiliation Department of Cardiovascular Medicine, University of Tokyo, Tokyo, Japan
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Kazutoshi Hirose,
Roles Data curation
Affiliation Department of Cardiovascular Medicine, University of Tokyo, Tokyo, Japan
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Hiroyuki Kiriyama,
Roles Data curation
Affiliation Department of Cardiovascular Medicine, University of Tokyo, Tokyo, Japan
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Akihito Saito,
Roles Data curation
Affiliation Department of Cardiovascular Medicine, University of Tokyo, Tokyo, Japan
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Mizuki Miura,
Roles Data curation
Affiliation Department of Cardiovascular Medicine, University of Tokyo, Tokyo, Japan
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Shun Minatsuki,
Roles Data curation
Affiliation Department of Cardiovascular Medicine, University of Tokyo, Tokyo, Japan
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Hironobu Kikuchi,
Roles Data curation
Affiliation Department of Cardiovascular Medicine, University of Tokyo, Tokyo, Japan
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Norifumi Takeda,
Roles Supervision
Affiliation Department of Cardiovascular Medicine, University of Tokyo, Tokyo, Japan
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Hiroshi Akazawa,
Roles Supervision
Affiliation Department of Cardiovascular Medicine, University of Tokyo, Tokyo, Japan
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Hiroyuki Morita,
Roles Supervision
Affiliation Department of Cardiovascular Medicine, University of Tokyo, Tokyo, Japan
⨯ - [ ... ],
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Issei Komuro
Roles Supervision
Affiliations Department of Cardiovascular Medicine, University of Tokyo, Tokyo, Japan, International University of Health and Welfare, Tokyo, Japan
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The potential of the transformer-based survival analysis model, SurvTrace, for predicting recurrent cardiovascular events and stratifying high-risk patients with ischemic heart disease
- Hiroki Shinohara,
- Satoshi Kodera,
- Yugo Nagae,
- Takashi Hiruma,
- Atsushi Kobayashi,
- Masataka Sato,
- Shinnosuke Sawano,
- Tatsuya Kamon,
- Koichi Narita,
- Kazutoshi Hirose
- Published: June 18, 2024
- https://doi.org/10.1371/journal.pone.0304423