Rchr
J-GLOBAL ID:201401030818461482   Update date: Nov. 17, 2024

Yada Shuntaro

ヤダ シュンタロウ | Yada Shuntaro
Affiliation and department:
Job title: Associate Professor
Homepage URL  (1): https://shuntaroy.com
Research field  (5): Biological, health, and medical informatics ,  Intelligent informatics ,  Web and service informatics ,  Learning support systems ,  Library/information science, humanistic/social informatics
Research keywords  (7): Medical Natural Language Processing ,  Social Computing ,  Library and Information Science ,  School Library ,  Natural Language Processing ,  Machine Learning ,  Medical Informatics
Research theme for competitive and other funds  (5):
  • 2022 - 2025 学校図書館による授業支援を促す打ち合わせシートと教材検索システムの開発・評価
  • 2023 - 2024 患者による記述からの医療イベント要約文生成と時系列可視化
  • 2020 - 2024 Design and validation of a user interface to support digital passive exposure to unexpected information
  • 2016 - 2019 Developing methods and environments to stimulate pre-readers' reading habit by using SNS
  • 2014 - 2015 学校図書館による教員サポートを促す図書推薦システムの開発と評価
Papers (38):
  • 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
  • Gabriel Herman Bernardim Andrade, Tomohiro Nishiyama, Takako Fujimaki, Shuntaro Yada, Shoko Wakamiya, Mari Takagi, Mizuki Kato, Isao Miyashiro, Eiji Aramaki. Assessing domain adaptation in adverse drug event extraction on real-world breast cancer records. International Journal of Medical Informatics. 2024. 191. 105539-105539
  • Tomohiro Nishiyama, Ayane Yamaguchi, Peitao Han, Lis Weiji Kanashiro Pereira, Yuka Otsuki, Gabriel Herman Bernardim Andrade, Noriko Kudo, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki, et al. Automated System to Capture Patient Symptoms From Multitype Japanese Clinical Texts: Retrospective Study. JMIR Medical Informatics. 2024. 12. e58977-e58977
  • Shuntaro Yada, Tomohiro Nishiyama, Shoko Wakamiya, Yoshimasa Kawazoe, Shungo Imai, Satoko Hori, Eiji Aramaki. Utility analysis and demonstration of real-world clinical texts: A case study on Japanese cancer-related EHRs. PloS one. 2024. 19. 9. e0310432
  • Shuntaro Yada, Yuta Nakamura, Shoko Wakamiya, Eiji Aramaki. Cross-lingual Natural Language Processing on Limited Annotated Case/Radiology Reports in English and Japanese: Insights from the Real-MedNLP Workshop. Methods of information in medicine. 2024
more...
MISC (89):
  • 福島 拓也, 久田 祥平, 矢田 竣太郎, 若宮 翔子, 荒牧 英治. 日本語医療LLM評価ベンチマークの構築と性能分析. 情報処理学会研究報告. 2024. 2024. NL-261
  • 清水聖司, 矢田竣太郎, 若宮翔子, 荒牧英治. RECORD TWIN:病歴を保ちつつ表現が異なる症例を生成する. 情報処理学会研究報告. 2024. 2024. NL-260
  • WATABE Satoshi, NISHIOKA Satoshi, YANAGISAWA Yuki, SAYAMA Kyoko, KIZAKI Hayato, IMAI Shungo, SOMEYA Mitsuhiro, TANIGUCHI Ryoo, YADA Shuntaro, ARAMAKI Eiji, et al. Evaluation of the usefulness of deep learning models for adverse event signal detection using patient complaints. Proceedings of the Annual Conference of JSAI. 2024. JSAI2024. 2S6OS7a05-2S6OS7a05
  • HISAMURA Soma, SAYAMA Kyoko, WATABE Satoshi, KIZAKI Hayato, IMAI Shungo, KISHIDA Toru, FUKUOKA Natsumi, YADA Shuntaro, ARAMAKI Eiji, HORI Satoko. Emotion Analysis of Cancer Patients Using Interview Texts from Cancer Survivors. Proceedings of the Annual Conference of JSAI. 2024. JSAI2024. 3S1OS7b01-3S1OS7b01
  • FUKUSHIMA Takuya, MANABE Masae, YADA Shuntaro, WAKAMIYA Shoko, ARAMAKI Eiji, YOSHIDA Akiko, URAKAWA Yusaku, MAEDA Akiko, KAN Shigeyuki, TAKAHASHI Masayo. JGCLLM: A Japanese Genetic Counseling Large Language Model. Proceedings of the Annual Conference of JSAI. 2024. JSAI2024. 3S5OS7c01-3S5OS7c01
more...
Patents (2):
Books (1):
  • 医療・健康データビジネス/テクノロジー総覧
    日経BP 2020
Lectures and oral presentations  (4):
  • Medical NLP in the Era of Large Language Models
    (Seminar at Keio University Graduate School of Media and Governance 2023)
  • 医療テキスト構造化のための言語・知識処理基礎の構築
    (AIP-PRISM「新薬創出を加速する症例データベースの構築・拡充/創薬ターゲットの推定アルゴリズムの開発」令和4年度成果報告会 2023)
  • 医療言語処理とリアルワールドデータが拓く共創
    (けいはんなR&Dフェア2022 2022)
  • 医療言語処理を支える技術
    (中外製薬社内研修会 2020)
Works (5):
  • 病の体験記サーチ
    矢田 竣太郎 2023 - 現在
  • ADE Explorer
    2023 - 現在
  • HeaRT
    Shuntaro Yada 2021 - 現在
  • BookReach
    Shuntaro Yada 2020 - 現在
  • LiMCo: Linguistic Measure Collection
    Shuntaro Yada 2020 -
Education (4):
  • 2016 - 2019 The University of Tokyo Graduate School of Education PhD (Education) at Division of Lifelong Learning Infrastructure Management
  • 2014 - 2016 The University of Tokyo Graduate School of Education Master of Education: Division of Lifelong Learning Infrastructure Management
  • 2012 - 2014 The University of Tokyo Faculty of Education Bachelor of Education: Division of Educational Practices and Policies
  • 2010 - 2012 The University of Tokyo College of Arts and Sciences Natural Sciences II
Professional career (2):
  • Master of Education (The University of Tokyo)
  • PhD in Education (The University of Tokyo)
Work history (9):
  • 2024/10 - 現在 University of Tsukuba Office of International Online Education Vice Director
  • 2024/10 - 現在 University of Tsukuba Faculty of Library, Information and Media Science Associate Professor
  • 2020/11 - 2024/09 Nara Institute of Science and Technology Graduate School of Science and Technology Assistant Professor
  • 2020/05 - 2020/10 Nara Institute of Science and Technology Social Computing Laboratory Postdoctoral fellow
  • 2019/09 - 2020/04 Nara Institute of Science and Technology Social Computing Laboratory Research fellow
Show all
Committee career (4):
  • 2024/04 - 現在 言語処理学会 若手シンポジウム運営委員
  • 2024/03 - 現在 言語処理学会 編集委員
  • 2023/04 - 現在 日本図書館情報学会 研究委員
  • 2017/07 - 2018/03 日本図書館情報学会 学会ウェブサイトワーキンググループ
Awards (2):
  • 2024/06 - 情報処理学会 自然言語処理(NL)研究会 優秀研究賞 RECORD TWIN: 病歴を保ちつつ表現が異なる症例の生成
  • 2020/10 - 日本図書館情報学会 優秀発表奨励賞 学校図書館による教材提供を支援する図書選定システムの提案とユーザインタフェースの予備的評価
Association Membership(s) (3):
THE ASSOCIATION FOR NATURAL LANGUAGE PROCESSING ,  JAPAN SOCIETY OF LIBRARY AND INFORMATION SCIENCE ,  The Japanese Society for Artificial Intelligence
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