Rchr
J-GLOBAL ID:201901015803680348   Update date: Mar. 08, 2024

Seki Tomohisa

セキ トモヒサ | Seki Tomohisa
Affiliation and department:
Research field  (3): Healthcare management, medical sociology ,  Emergency medicine ,  Cardiology
Research keywords  (4): Cardiac Pulmonary Resuscitation ,  Heart failure ,  Machine learning ,  Cardiology
Research theme for competitive and other funds  (9):
  • 2023 - 2026 グラフ表現学習を用いた教師なし学習による疾患・病態特徴の自動抽出手法の開発
  • 2020 - 2025 患者本人の主観的評価(PRO)を活用した循環器疾患レジストリデータの統合的解析
  • 2020 - 2023 e-Phenotyping from clinical text for hereditary disorders and feasibility evaluation for clinical applications
  • 2020 - 2023 蘇生救急領域における診療支援を目的とした機械学習モデルの開発
  • 2019 - 大規模臨床データを用いた機械学習による入院患者診療フローの診療補助モデルの開発
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Papers (59):
  • Takuro Hamaguchi, Toru Takiguchi, Tomohisa Seki, Naoki Tominaga, Jun Nakata, Takeshi Yamamoto, Takashi Tagami, Akihiko Inoue, Toru Hifumi, Tetsuya Sakamoto, et al. Association between pupillary examinations and prognosis in patients with out-of-hospital cardiac arrest who underwent extracorporeal cardiopulmonary resuscitation: a retrospective multicentre cohort study. Annals of intensive care. 2024. 14. 1. 35-35
  • Naoki Tominaga, Toru Takiguchi, Tomohisa Seki, Takuro Hamaguchi, Jun Nakata, Takeshi Yamamoto, Takashi Tagami, Akihiko Inoue, Toru Hifumi, Tetsuya Sakamoto, et al. Factors associated with favourable neurological outcomes following cardiopulmonary resuscitation for out-of-hospital cardiac arrest: A retrospective multi-centre cohort study. Resuscitation plus. 2024. 17. 100574-100574
  • Tomohisa Seki, Yoshimasa Kawazoe, Kazuhiko Ohe. Graph Representation Learning-Based Fixed-Length Clinical Feature Vector Generation from Heterogeneous Medical Records. Studies in health technology and informatics. 2024. 310. 715-719
  • Toru Takiguchi, Naoki Tominaga, Takuro Hamaguchi, Tomohisa Seki, Jun Nakata, Takeshi Yamamoto, Takashi Tagami, Akihiko Inoue, Toru Hifumi, Tetsuya Sakamoto, et al. Etiology-based Prognosis of Extracorporeal Cardiopulmonary Resuscitation Recipients After Out-of-hospital Cardiac Arrest: A Retrospective Multicenter Cohort Study. Chest. 2023
  • Masanobu Ishii, Kenichi Tsujita, Tomohisa Seki, Masafumi Okada, Kazumi Kubota, Kenichi Matsushita, Koichi Kaikita, Naohiro Yonemoto, Yoshio Tahara, Takanori Ikeda. Sex- and Age-Based Disparities in Public Access Defibrillation, Bystander Cardiopulmonary Resuscitation, and Neurological Outcome in Cardiac Arrest. JAMA network open. 2023. 6. 7. e2321783
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MISC (38):
  • 瀧口 徹, 関 倫久, 富永 直樹, 濱口 拓郎, 直江 康孝, 中田 淳, 田上 隆, 横堀 將司. 院外心停止に対して体外循環式心肺蘇生法が行われた症例における病因による転帰の比較. 日本救急医学会関東地方会雑誌. 2023. 44. 1. O-084
  • 関倫久, 大江和彦. Lifestyle-related diseases and medical big data. 医学のあゆみ. 2021. 278. 5
  • 篠原恵美子, 河添悦昌, 柴田大作, 嶋本公徳, 関倫久. Development of finding-comprehensive Annotation Guideline for practical clinical text processing. 日本医療情報学会春季学術大会プログラム・抄録集. 2021. 25th
  • Tomohisa Seki. Precision Cardiology. 2020. 182-187
  • 河添悦昌, 石田博, 関倫久. FHIR国内実装検討SWG4-patient care and summaryの活動. 医療情報学連合大会プログラム・抄録集. 2020. 40th
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Patents (2):
Lectures and oral presentations  (19):
  • Educational Session II, AI Hands-on 2, Image Analysis
    (2023)
  • Clinical Feature Vector Generation using Unsupervised Graph Representation Learning from Heterogeneous Medical Records
    (AMIA 2023 Nannual Symposium 2023)
  • Graph representation learning-based fixed-length clinical feature vector generation from heterogeneous medical records
    (MEDINFO23 2023)
  • Automatic Feature Extraction for Electronic Medical Record Data Structure by Unsupervised Learning Using Graph Representation Learning
    (2022)
  • Quality control of data resources for clinical research
    (The 40th Joint Conference on Medical Informatics (The 21th Annual Meeting of JAMI) 2020)
more...
Education (2):
  • 2008 - 2011 Keio University School of Medicine Doctorate of Medical Science
  • 2000 - 2006 Keio University School of Medicine
Professional career (1):
  • 医学博士 (慶應義塾大学)
Work history (6):
  • 2019 - 現在 The Tokyo University Hospital Department of Healthcare Information Management Research associate
  • 2018 - 2019 The University of Tokyo Hospital Department of Healthcare Information Management Project Researcher
  • 2014 - 2018 Keio University School of Medicine Department of Emergency and Critical Care Medicine Research associate
  • 2014 - 2014 Keio University School of Medicine Cardiology Department Research associate
  • 2011 - 2014 Japan Society for the Promotion of Science Research Fellowship for Young Scientists
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Awards (5):
  • 2023/06 - 医療情報学会 第42回医療情報学連合大会学術奨励賞 優秀口演賞 グラフ表現学習を用いた教師なし学習による電子カルテデータ構造の自動特徴抽出手法の開発
  • 2019/11 - AHA Resuscitation Science Symposium Paul Dudley International Scholar Award
  • 2012/05 - Tokyo Medical Association Medical Research Encouragement Priza of The Tokyo Medical Association
  • 2011/12 - Inoue Foundation for Science Inoue Research Award for Young Scientists
  • 2011/02 - Japan Society for the Promotion of Science Ikushi Prize
Association Membership(s) (7):
japanese association for medical artificial intelligence ,  THE JAPANESE SOCIETY FOR ARTIFICIAL INTELLIGENCE ,  JAPAN ASSOCIATION FOR MEDICAL INFORMATICS ,  THE JAPANESE SOCIETY FOR REGENERATIVE MEDICINE ,  JAPANESE ASSOCIATION FOR ACUTE MEDICINE ,  The Japanese Circulation Society ,  THE JAPANESE SOCIETY OF INTERNAL MEDICINE
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