Rchr
J-GLOBAL ID:201001091299979380   Update date: Apr. 15, 2024

Shinohara Emiko Y

シノハラ エミコ | Shinohara Emiko Y
Affiliation and department:
Job title: Project researcher
Research field  (1): Biological, health, and medical informatics
Research keywords  (4): linguistics ,  知識工学 ,  Natural Language Processing ,  Medical Informatics
Research theme for competitive and other funds  (5):
  • 2023 - 2026 Development of a Practical Medical Terminology Dictionary toward Entity Linking
  • 2021 - 2024 COVID-19関連制限と外国人居住者の健康福祉:ビッグデータ解析による自然実験
  • 2020 - 2023 e-Phenotyping from clinical text for hereditary disorders and feasibility evaluation for clinical applications
  • 2015 - 2017 死亡個票統計における循環器疾患関連死因の妥当性に関する検討
  • 2012 - 2014 医療文章からの部位表現の抽出と正規化
Papers (58):
  • Daisaku Shibata, Emiko Shinohara, Kiminori Shimamoto, Yoshimasa Kawazoe. Towards Structuring Clinical Texts: Joint Entity and Relation Extraction from Japanese Case Report Corpus. 2024
  • Mai Hirabayashi, Daisaku Shibata, Emiko Shinohara, Yoshimasa Kawazoe. Influence of Tweets Indicating False Rumors on COVID-19 Vaccination: Case Study. JMIR Formative Research. 2023
  • Mai Hirabayashi, Daisaku Shibata, Emiko Shinohara, Yoshimasa Kawazoe. Influence of Tweets Indicating False Rumors on COVID-19 Vaccination: Case Study (Preprint). 2023
  • Yoshimasa Kawazoe, Kiminori Shimamoto, Ryohei Yamaguchi, Issei Nakamura, Kota Yoneda, Emiko Shinohara, Yukako Shintani-Domoto, Tetsuo Ushiku, Tatsuo Tsukamoto, Kazuhiko Ohe. Computational Pipeline for Glomerular Segmentation and Association of the Quantified Regions with Prognosis of Kidney Function in IgA Nephropathy. Diagnostics. 2022. 12. 12. 2955-2955
  • Emiko Shinohara, Daisaku Shibata, Yoshimasa Kawazoe. Development of comprehensive annotation criteria for patients’ states from clinical texts. Journal of Biomedical Informatics. 2022. 134. 104200-104200
more...
MISC (13):
  • 河添悦昌, 篠原恵美子, 大江和彦. Examination of mapping between a comprehensive annotation criterion for clinical condition and HL7 FHIR condition resources. 医療情報学連合大会論文集(CD-ROM). 2021. 41st
  • 柴田大作, 河添悦昌, 篠原恵美子, 嶋本公徳. The Accuracy of Entity and Relation Extraction from Case Reports. 医療情報学連合大会論文集(CD-ROM). 2021. 41st
  • 河添悦昌, 篠原恵美子. A text corpus of clinical case reports for rare and incurable diseases. 医療情報学連合大会論文集(CD-ROM). 2021. 41st
  • 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
  • 篠原恵美子, 河添悦昌, 今井健, 大江和彦. 医学用語抽出のための文字列類似度. 医療情報学連合大会プログラム・抄録集. 2019. 39th
more...
Lectures and oral presentations  (10):
  • わが国の複合死因データによる死因間の関連分析
    (日本人口学会第71回研究大会 2019)
  • 複合死因データを用いた糖尿病関連の死亡
    (日本人口学会第71回研究大会 2019)
  • 概念知識に基づいた診療録テキストの意味解析
    (第1回日本メディカルAI学会学術集会 2019)
  • Listing differential diagnoses from symptoms of patients with vertigo using knowledge graph
    (APAMI2018 2018)
  • 看護実践用語標準マスターを基にした形態素解析用辞書の構築に関する検討
    (日本医療情報学会看護学術大会論文集 : JAMI-NS 2018)
more...
Education (4):
  • 2006 - 2010 The University of Tokyo Graduate school of Medicine
  • 2008 - 2009 Nara Institute of Science and Technology
  • 2004 - 2006 The University of Tokyo Medical Science Graduate Program
  • 2002 - 2004 The University of Tokyo Faculty of Engineering
Professional career (1):
  • Ph.D (The University of Tokyo)
Work history (4):
  • 2018/08 - 現在 The University of Tokyo Graduate School of Medicine Project research associate
  • 2014/10 - 2018/07 The University of Tokyo Project research associate
  • 2013/04 - 2014/09 Section of Bioinformatics, Center for Disease Biology and Integrative Medicine, Graduate School of Medicine, The University of Tokyo Research associate
  • 2010/04 - 2013/03 The University of Tokyo Hospital Project research associate
Awards (4):
  • 2014 - 第34回医療情報学連合大会 優秀口演賞
  • 2012 - 第32回医療情報学連合大会 優秀口演賞
  • 2011 - 第31回医療情報学連合大会 優秀演題賞
  • 2009 - 第29回医療情報学連合大会 研究奨励賞
Association Membership(s) (3):
THE JAPANESE SOCIETY FOR ARTIFICIAL INTELLIGENCE ,  THE ASSOCIATION FOR NATURAL LANGUAGE PROCESSING ,  Japan Association for Medical Informatics
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page