Rchr
J-GLOBAL ID：201901015803680348   Update date: Nov. 21, 2024

Seki Tomohisa

セキ トモヒサ | Seki Tomohisa
Affiliation and department：
-

About -


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
Show all
Papers (65)：
  • Yoshimasa Kawazoe, Kiminori Shimamoto, Tomohisa Seki, Masami Tsuchiya, Emiko Shinohara, Shuntaro Yada, Shoko Wakamiya, Shungo Imai, Satoko Hori, Eiji Aramaki. Post-marketing surveillance of anticancer drugs using natural language processing of electronic medical records. NPJ digital medicine. 2024. 7. 1. 315-315
  • Tomohisa Seki, Toru Takiguchi, Yu Akagi, Hiromasa Ito, Kazumi Kubota, Kana Miyake, Masafumi Okada, Yoshimasa Kawazoe. Iterative random forest-based identification of a novel population with high risk of complications post non-cardiac surgery. Scientific reports. 2024. 14. 1. 26741-26741
  • Tomohisa Seki, Yoshimasa Kawazoe, Kazuhiko Ohe. A Comparative Study of Access Analysis Service Utilization on Japanese Medical Institutions' Websites with GDPR-Compliant Cases. Studies in health technology and informatics. 2024. 316. 1238-1242
  • Hisashi Kurasawa, Kayo Waki, Tomohisa Seki, Akihiro Chiba, Akinori Fujino, Katsuyoshi Hayashi, Eri Nakahara, Tsuneyuki Haga, Takashi Noguchi, Kazuhiko Ohe. Enhancing Type 2 Diabetes Treatment Decisions With Interpretable Machine Learning Models for Predicting Hemoglobin A1c Changes: Machine Learning Model Development. JMIR AI. 2024. 3. e56700
  • Tomohisa Seki, Yoshimasa Kawazoe, Yu Akagi, Toru Takiguchi, Kazuhiko Ohe. Assessing the Performance of Zero-Shot Visual Question Answering in Multimodal Large Language Models for 12-Lead ECG Image Interpretation. 2024
ｍore...
MISC (36)：
  • 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
  • 関倫久. 人工知能のすべて. 科学雑誌 Newton 2019年9月号 (分担監修). 2019
ｍore...
Patents (2)：
Lectures and oral presentations  (21)：
  • Ageism and medical AI in a super aged society
    (The 24th Japanese Society of Informatics for Diabetes Mellitus 2024)
  • 医療リアルワールドデータの利活用促進に向けた機械学習の応用
    (第24回日本抗加齢医学会総会 2024)
  • 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)
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
Show all
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) (6)：
japanese association for medical artificial intelligence ,  THE JAPANESE SOCIETY FOR ARTIFICIAL INTELLIGENCE ,  JAPAN ASSOCIATION FOR MEDICAL INFORMATICS ,  JAPANESE ASSOCIATION FOR ACUTE MEDICINE ,  The Japanese Circulation Society ,  THE JAPANESE SOCIETY OF INTERNAL MEDICINE
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page

TOP

BOTTOM