Seki Tomohisa 関倫久

… Alternative Names

関倫久セキトモヒサ

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Researcher Number	30528873
Other IDs	https://orcid.org/0000-0002-4281-135X
Affiliation (Current)	2024: 東京大学, 医学部附属病院, 助教
Affiliation (based on the past Project Information) *help	2020 – 2024: 東京大学, 医学部附属病院, 助教 2017 – 2018: 東京大学, 医学部附属病院, 助教 2016: 慶應義塾大学, 医学部(信濃町), 助教 2016: 慶應義塾大学, 医学部, 研究員 2011: Keio University, 医学部, 研究員 2010: 慶應義塾大学, 医学部, 研究員(非常勤)
Review Section/Research Field	Principal Investigator Basic Section 90130:Medical systems-related / Basic Section 55060:Emergency medicine-related / Cardiovascular medicine / Circulatory organs internal medicine Except Principal Investigator Basic Section 62010:Life, health and medical informatics-related / Basic Section 58010:Medical management and medical sociology-related / Basic Section 58030:Hygiene and public health-related: excluding laboratory approach / Cardiovascular medicine
Keywords	Principal Investigator SS-MIX2 / 機械学習 / センダイウイルス / iPS細胞 / 医療データ / グラフ / 電子カルテ / 心肺蘇生 / 循環器 / 救急 … More / 電子診療録 / 心肺停止 / 蘇生 / 救急医学 / 予測モデル / 蘇生医療 / 救急医療 / 心筋再生 / 再生医学 / ヒトiPS細胞 / 核型異常 / 再生医療 / 心筋分化 / 先天性QT延長症候群 … More Except Principal Investigator 個別化医療 / AI / 人工知能 / 深層学習 / マルチモーダル / PRO / アウトカム / 医療の質 / 患者アウトカム / 心房細動 / 心不全 / 冠動脈疾患 / 生活習慣病 / 特定健診 / 告示難病 / 診療テキスト / Relation Extraction / Named Entity Recognition / Human Phenotype Ontology / Phenotyping / 自然言語処理 / 表現型 / 遺伝性疾患 / 診療記録 / 再生医学 / がん免疫療法 / がんワクチン / 免疫療法 / iPS細胞 / 再生医療 Less

Moving away from Metabolic Syndrome-focused Specific Health Examinations: Creation of an Evaluation Method using AI with Real World Data
- Principal Investigator
  
  川野貴久
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 58030:Hygiene and public health-related: excluding laboratory approach
- Research Institution
  University of Fukui
個別化医療の実現を目指したマルチモーダル汎用モデル開発
- Principal Investigator
  
  小寺聡
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 62010:Life, health and medical informatics-related
- Research Institution
  The University of Tokyo
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Principal Investigator
- Principal Investigator
  
  関倫久
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 90130:Medical systems-related
- Research Institution
  The University of Tokyo
Development of machine learning models to support medical treatment in the field of resuscitation and emergency medicinePrincipal Investigator
- Principal Investigator
  
  Seki Tomohisa
- Project Period (FY)
  2020 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 55060:Emergency medicine-related
- Research Institution
  The University of Tokyo
e-Phenotyping from clinical text for hereditary disorders and feasibility evaluation for clinical applications
- Principal Investigator
  
  Kawazoe Yoshimasa
- Project Period (FY)
  2020 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 62010:Life, health and medical informatics-related
- Research Institution
  The University of Tokyo
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
- Principal Investigator
  
  香坂俊
- Project Period (FY)
  2020 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 58010:Medical management and medical sociology-related
- Research Institution
  Keio University
Optimization of protocol of iPSC-generation for human regenerative cardiomyocyte transplantation therapyPrincipal Investigator
- Principal Investigator
  
  Seki Tomohisa
- Project Period (FY)
  2016 – 2017
- Research Category
  
  Grant-in-Aid for Young Scientists (A)
- Research Field
  
  Cardiovascular medicine
- Research Institution
  The University of Tokyo
  Keio University
Establishment of RNA virus vaccine for removal of pluripotent cells in iPS cell-derivative
- Principal Investigator
  
  Fukuda Keiichi
- Project Period (FY)
  2016
- Research Category
  
  Grant-in-Aid for Challenging Exploratory Research
- Research Field
  
  Cardiovascular medicine
- Research Institution
  Keio University
先天性QT延長症候群の疾患特異的iPS細胞の樹立および実験系の構築Principal Investigator
- Principal Investigator
  
  関倫久
- Project Period (FY)
  2010
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Circulatory organs internal medicine
- Research Institution
  Keio University

All 2024 2023 2022 2021 2010

All Journal Article Presentation Patent

[Journal Article] Graph Representation Learning-Based Fixed-Length Clinical Feature Vector Generation from Heterogeneous Medical Records2024
- Author(s)
  Seki Tomohisa、Kawazoe Yoshimasa、Ohe Kazuhiko
- Journal Title
  
  Studies in health technology and informatics
  
  Volume: 310 Pages: 715-719
- DOI
  10.3233/shti231058
- ISBN
  9781643684567, 9781643684574
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-23K11865
[Journal Article] Clinical Feature Vector Generation using Unsupervised Graph Representation Learning from Heterogeneous Medical Records.2023
- Author(s)
  Seki Tomohisa、Kawazoe Yoshimasa、Ohe Kazuhiko
- Journal Title
  
  AMIA ... Annual Symposium proceedings. AMIA Symposium
  
  Volume: 2023 Pages: 618-623
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-23K11865
[Journal Article] 症例報告に対する網羅的な所見アノテーションのためのアノテーション基準の構築2022
- Author(s)
  篠原恵美子, 河添悦昌, 柴田大作, 嶋本公徳, 関倫久
- Journal Title
  
  医療情報学
  
  Volume: 42(1) Pages: 3-15
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20H04279
[Journal Article] Catheter ablation improves outcomes and quality of life in Japanese patients with early-stage atrial fibrillation: A retrospective cohort study2022
- Author(s)
  Seki Yuta、Fujisawa Taishi、Ikemura Nobuhiro、Ibe Susumu、Tsuzuki Ippei、Hashimoto Kenji、Yamashita Terumasa、Miyama Hiroshi、Niimi Nozomi、Suzuki Masahiro、Negishi Koji、Katsumata Yoshinori、Kimura Takehiro、Fukuda Keiichi、Kohsaka Shun、Takatsuki Seiji
- Journal Title
  
  Heart Rhythm
  
  Volume: 19 Issue: 7 Pages: 1076-1083
- DOI
  10.1016/j.hrthm.2022.02.017
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20J01755, KAKENHI-PROJECT-23K20336, KAKENHI-PROJECT-21K16069
[Journal Article] Treatment Discontinuation Prediction in Patients With Diabetes Using a Ranking Model: Machine Learning Model Development2022
- Author(s)
  Kurasawa Hisashi、Waki Kayo、Chiba Akihiro、Seki Tomohisa、Hayashi Katsuyoshi、Fujino Akinori、Haga Tsuneyuki、Noguchi Takashi、Ohe Kazuhiko
- Journal Title
  
  JMIR Bioinformatics and Biotechnology
  
  Volume: 3 Issue: 1 Pages: e37951-e37951
- DOI
  10.2196/37951
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K09302
[Journal Article] Machine learning-based prediction of in-hospital mortality using admission laboratory data2021
- Author(s)
  Tomohisa Seki, Yoshimasa Kawazoe, Kazuhiko Ohe
- Journal Title
  
  PLOS ONE
  
  Volume: 16 Issue: 2 Pages: e0246640-e0246640
- DOI
  10.1371/journal.pone.0246640
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K09302
[Journal Article] The Effectiveness of a Deep Learning Model to Detect Left Ventricular Systolic Dysfunction from Electrocardiograms2021
- Author(s)
  Katsushika Susumu、Ieki Hirotaka, et al.
- Journal Title
  
  Int. Heart J.
  
  Volume: 62 Issue: 6 Pages: 1332-1341
- DOI
  10.1536/ihj.21-407
- NAID
  130008122372
- ISSN
  1349-2365, 1349-3299
- Year and Date
  2021-11-29
- Language
  English
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20J11705, KAKENHI-PROJECT-20K09302, KAKENHI-PROJECT-21K08023
[Journal Article] Generation of Induced Pluripotent Stem Cells from Human Terminally Differentiated Circulating T Cells.2010
- Author(s)
  関倫久、湯浅慎介、福田恵一, 他
- Journal Title
  
  Cell Stem Cell
  
  Volume: 7巻 Pages: 11-14
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22790725
[Patent] 人工多能性幹細胞の製造方法2010
- Inventor(s)
  関倫久
- Industrial Property Rights Holder
  慶應義塾大学
- Industrial Property Number
  2010-095404
- Filing Date
  2010-04-16
- Data Source
  KAKENHI-PROJECT-22790725
[Presentation] Clinical Feature Vector Generation using Unsupervised Graph Representation Learning from Heterogeneous Medical Records2023
- Author(s)
  Seki Tomohisa、Kawazoe Yoshimasa、Ohe Kazuhiko
- Organizer
  AMIA 2023 Nannual Symposium
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11865
[Presentation] Graph representation learning-based fixed-length clinical feature vector generation from heterogeneous medical records2023
- Author(s)
  Seki Tomohisa、Kawazoe Yoshimasa、Ohe Kazuhiko
- Organizer
  MEDINFO23
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11865
[Presentation] 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2022
- Author(s)
  関倫久
- Organizer
  第42回医療情報学連合大会（第23回日本医療情報学会学術大会）
- Data Source
  KAKENHI-PROJECT-20K09302
[Presentation] 医療テキストに対する網羅的な所見アノテーションのためのアノテーション基準の構築2021
- Author(s)
  篠原恵美子, 河添悦昌, 柴田大作, 嶋本公徳, 関倫久
- Organizer
  第25回日本医療情報学会春季学術大会シンポジウム
- Data Source
  KAKENHI-PROJECT-20H04279
[Presentation] Generation of Induced Pluripotent Stem (iPS) Cells from Patients with Congenital Long QT Syndrome.2010
- Author(s)
  関倫久
- Organizer
  第8回幹細胞シンポジウム
- Place of Presentation
  淡路夢舞台国際会議場(兵庫)
- Year and Date
  2010-05-13
- Data Source
  KAKENHI-PROJECT-22790725

1. Fukuda Keiichi (20199227)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
2. Kawazoe Yoshimasa (10621477)

# of Collaborated Projects: 1 results

# of Collaborated Products: 2 results
3. 篠原恵美子 (40582755)

# of Collaborated Projects: 1 results

# of Collaborated Products: 2 results
4. 川野貴久 (80622901)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. 香坂俊 (30528659)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
6. 隈丸拓 (00511461)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
7. 小寺聡 (80794776)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
8. 鈴木雅大 (30823885)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

Seki Tomohisa 関 倫久

関 倫久 セキ トモヒサ

Research Projects

Research Products

Co-Researchers

Moving away from Metabolic Syndrome-focused Specific Health Examinations: Creation of an Evaluation Method using AI with Real World Data

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

個別化医療の実現を目指したマルチモーダル汎用モデル開発

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

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Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of machine learning models to support medical treatment in the field of resuscitation and emergency medicinePrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

e-Phenotyping from clinical text for hereditary disorders and feasibility evaluation for clinical applications

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

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

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Optimization of protocol of iPSC-generation for human regenerative cardiomyocyte transplantation therapyPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Establishment of RNA virus vaccine for removal of pluripotent cells in iPS cell-derivative

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

先天性QT延長症候群の疾患特異的iPS細胞の樹立および実験系の構築Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] Graph Representation Learning-Based Fixed-Length Clinical Feature Vector Generation from Heterogeneous Medical Records2024

Author(s)

Journal Title

DOI

ISBN

Data Source

[Journal Article] Clinical Feature Vector Generation using Unsupervised Graph Representation Learning from Heterogeneous Medical Records.2023

Author(s)

Journal Title

Data Source

[Journal Article] 症例報告に対する網羅的な所見アノテーションのためのアノテーション基準の構築2022

Author(s)

Journal Title

Data Source

[Journal Article] Catheter ablation improves outcomes and quality of life in Japanese patients with early-stage atrial fibrillation: A retrospective cohort study2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Treatment Discontinuation Prediction in Patients With Diabetes Using a Ranking Model: Machine Learning Model Development2022

Author(s)

Seki Tomohisa 関倫久

関倫久セキトモヒサ