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Open Access
Peer-reviewed
Research Article
A deep state-space analysis framework for cancer patient latent state estimation and classification from EHR time-series data
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Yuji Okamoto ,
Contributed equally to this work with: Yuji Okamoto, Aya Nakamura, Ryosuke Kojima
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Validation, Visualization, Writing – review & editing
Affiliation Department of Biomedical Data Intelligence, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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Aya Nakamura ,
Contributed equally to this work with: Yuji Okamoto, Aya Nakamura, Ryosuke Kojima
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft
Affiliation Department of Biomedical Data Intelligence, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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Ryosuke Kojima ,
Contributed equally to this work with: Yuji Okamoto, Aya Nakamura, Ryosuke Kojima
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft
Affiliation Department of Biomedical Data Intelligence, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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Eiichiro Uchino,
Roles Data curation, Investigation, Methodology, Validation, Visualization, Writing – review & editing
Affiliations Department of Biomedical Data Intelligence, Graduate School of Medicine, Kyoto University, Kyoto, Japan, Department of Nephrology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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Yohei Mineharu,
Roles Data curation, Investigation, Methodology, Validation, Visualization, Writing – review & editing
Affiliations Department of Biomedical Data Intelligence, Graduate School of Medicine, Kyoto University, Kyoto, Japan, Department of Artificial Intelligence in Healthcare and Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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Yohei Harada,
Roles Data curation, Investigation, Methodology, Validation, Visualization, Writing – review & editing
Affiliation Department of Biomedical Data Intelligence, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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Mayumi Kamada,
Roles Data curation, Investigation, Methodology, Validation, Visualization
Affiliation Department of Biomedical Data Intelligence, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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Minoru Sakuragi,
Roles Investigation, Validation, Visualization, Writing – review & editing
Affiliations Department of Biomedical Data Intelligence, Graduate School of Medicine, Kyoto University, Kyoto, Japan, Department of Nephrology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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Manabu Muto,
Roles Project administration, Supervision, Writing – review & editing
Affiliation Department of Medical Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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Motoko Yanagita,
Roles Project administration, Supervision, Writing – review & editing
Affiliations Department of Nephrology, Graduate School of Medicine, Kyoto University, Kyoto, Japan, Institute for the Advanced Study of Human Biology (ASHBi), Kyoto University, Kyoto, Japan
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Yasushi Okuno
Roles Project administration, Supervision, Writing – review & editing
* E-mail: okuno.yasushi.4c@kyoto-u.ac.jp
Affiliation Department of Biomedical Data Intelligence, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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A deep state-space analysis framework for cancer patient latent state estimation and classification from EHR time-series data
- Yuji Okamoto,
- Aya Nakamura,
- Ryosuke Kojima,
- Eiichiro Uchino,
- Yohei Mineharu,
- Yohei Harada,
- Mayumi Kamada,
- Minoru Sakuragi,
- Manabu Muto,
- Motoko Yanagita
- Published: January 30, 2026
- https://doi.org/10.1371/journal.pone.0341003