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KAWAZOE YOSHIMASA  河添 悦昌

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Kawazoe Yoshimasa  河添 悦昌

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Researcher Number 10621477
Affiliation (Current) 2020: 東京大学, 医学部附属病院, 特任准教授
Affiliation (based on the past Project Information) *help 2018 – 2020: 東京大学, 医学部附属病院, 特任准教授
2016 – 2017: 東京大学, 医学部附属病院, 講師
2013 – 2015: 東京大学, 医学部附属病院, 助教
Review Section/Research Field
Principal Investigator
Medical and hospital managemen / Life / Health / Medical informatics / Basic Section 62010:Life, health and medical informatics-related
Except Principal Investigator
Medical and hospital managemen / Medium-sized Section 58:Society medicine, nursing, and related fields
Keywords
Principal Investigator
電子的診療データ / オントロジー / セマンティックウェブ / RDF / SPARQL / Health Level Seven / 診療データの検索 / 臨床試験 / クエリ拡張 / EHR Phenotyping … More / 院内がん登録 / 電子的診療情報 / 深層学習 / Deeplearning / 自然言語処理 / 診療記録 / 表現型 / 遺伝性疾患 / Phenotyping … More
Except Principal Investigator
医療情報学 / レセプト情報等データベース(NDB) / レセプト情報・特定健診等情報データベース / 二次利用 / 医療政策 / 保健医療ビッグデータ / レセプト情報分析 / 健康情報 / 臨床統計学 Less
  • Research Projects

    (5 results)
  • Research Products

    (32 results)
  • Co-Researchers

    (18 People)
  •  e-Phenotyping from clinical text for hereditary disorders and feasibility evaluation for clinical applicationsPrincipal InvestigatorOngoing

    • Principal Investigator
      河添 悦昌
    • 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
  •  Development of the comprehensive support system to enhance the use of National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB)Ongoing

    • Principal Investigator
      加藤 源太
    • Project Period (FY)
      2018 – 2022
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Review Section
      Medium-sized Section 58:Society medicine, nursing, and related fields
    • Research Institution
      Kyoto University
  •  Development of EHR Based Phenotyping with High Dimensional Patient InformationPrincipal Investigator

    • Principal Investigator
      Kawazoe Yoshimasa
    • Project Period (FY)
      2016 – 2018
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Medical and hospital managemen
    • Research Institution
      The University of Tokyo
  •  Development research of the new classification and analysis system concerning the codes of claims data in Japan

    • Principal Investigator
      Genta Kato
    • Project Period (FY)
      2015 – 2017
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Medical and hospital managemen
    • Research Institution
      Kyoto University
  •  Development of Knowledge Integrated Database for Clinical Information Retrieval SystemPrincipal Investigator

    • Principal Investigator
      Kawazoe Yoshimasa
    • Project Period (FY)
      2013 – 2015
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Medical and hospital managemen
      Life / Health / Medical informatics
    • Research Institution
      The University of Tokyo

All 2019 2018 2017 2016 2015 2014

All Journal Article Presentation Book

  • [Book] 小児内科2019

    • Author(s)
      河添 悦昌, 大江 和彦
    • Total Pages
      6
    • Publisher
      東京医学社
    • Data Source
      KAKENHI-PROJECT-16K09161
  • [Book] 腎臓内科・泌尿器科2018

    • Author(s)
      河添悦昌, 大江和彦
    • Total Pages
      5
    • Publisher
      科学評論社
    • Data Source
      KAKENHI-PROJECT-16K09161
  • [Book] 医歯薬出版株式会社2017

    • Author(s)
      河添悦昌
    • Total Pages
      5
    • Publisher
      医療における人工知能技術の応用
    • Data Source
      KAKENHI-PROJECT-16K09161
  • [Journal Article] Bias of Inaccurate Disease Mentions in Electronic Health Record-based Phenotyping.2019

    • Author(s)
      Kagawa R, Shinohara E, Imai T, Kawazoe Y, Ohe K
    • Journal Title

      International Journal of Medical informatics

      Volume: 124 Pages: 90-96

    • DOI

      10.1016/j.ijmedinf.2018.12.004

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18H04076, KAKENHI-PROJECT-18H06363
  • [Journal Article] これまで行われてきた医療の分野での人工知能の利用と今後の課題2019

    • Author(s)
      河添 悦昌, 大江 和彦
    • Journal Title

      小児内科

      Volume: 51 Pages: 22-28

    • Data Source
      KAKENHI-PROJECT-18H04076
  • [Journal Article] 入院レセプトの主傷病名推定に有効な説明変数の検討2018

    • Author(s)
      山下 英俊, 倉沢 央, 河添 悦昌, 大江 和彦
    • Journal Title

      医療情報学

      Volume: 38(Suppl.) Pages: 404-409

    • Data Source
      KAKENHI-PROJECT-16K09161
  • [Journal Article] Effects of implementing tree model of diagnosis into a Bayesian diagnostic inference system2017

    • Author(s)
      Satoshi Iwai, Yoshimasa Kawazoe, Takeshi Imai, Kazuhiko Ohe
    • Journal Title

      Stud Health Technol Inform.

      Volume: 245 Pages: 882-886

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16K09161
  • [Journal Article] 疾患横断的なe-phenotyping手法開発を目的とした各疾患の特徴の検討2017

    • Author(s)
      香川璃奈, 河添悦昌, 篠原恵美子, 今井健, 大江和彦
    • Journal Title

      医療情報学

      Volume: 37 Pages: 754-759

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16K09161
  • [Journal Article] Effects of implementing tree model of diagnosis into a Bayesian diagnostic inference system2017

    • Author(s)
      Satoshi Iwai, Yoshimasa Kawazoe, Takeshi Imai, Kazuhiko Ohe
    • Journal Title

      Stud Health Technol Inform

      Volume: 245 Pages: 882-886

    • Data Source
      KAKENHI-PROJECT-15H04793
  • [Journal Article] The impact of “possible patients” on phenotyping algorithms: Electronic phenotype algorithms can only be reproduced by sharing detailed annotation criteria2017

    • Author(s)
      Rina Kagawa, Yoshimasa Kawazoe, Emiko Shinohara, Takeshi Imai, Kazuhiko Ohe
    • Journal Title

      Stud Health Technol Inform.

      Volume: 245 Pages: 432-436

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16K09161
  • [Journal Article] 状態空間モデルと深層ニューラルネットワークによる検体検査結果の欠損値推定精度の比較2017

    • Author(s)
      河添悦昌, 倉沢央, 岩井聡, 香川璃奈, 大江和彦
    • Journal Title

      医療情報学

      Volume: 37(Suppl.) Pages: 820-824

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-15H04793
  • [Journal Article] The impact of “possible patients” on phenotyping algorithms: Electronic phenotype algorithms can only be reproduced by sharing detailed annotation criteria2017

    • Author(s)
      Rina Kagawa, Yoshimasa Kawazoe, Emiko Shinohara, Takeshi Imai, Kazuhiko Ohe
    • Journal Title

      Stud Health Technol Inform

      Volume: 245 Pages: 432-436

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-15H04793
  • [Journal Article] 状態空間モデルと深層ニューラルネットワークによる検体検査結果の欠損値推定精度の比較2017

    • Author(s)
      河添悦昌, 倉沢央, 岩井聡, 香川璃奈, 大江和彦
    • Journal Title

      医療情報学

      Volume: 37 Pages: 820-824

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16K09161
  • [Journal Article] 疾患横断的なe-phenotyping手法開発を目的とした各疾患の特徴の検討2017

    • Author(s)
      香川璃奈, 河添悦昌, 篠原恵美子, 今井健, 大江和彦
    • Journal Title

      医療情報学37(Suppl.)

      Volume: 37(Suppl.) Pages: 754-759

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-15H04793
  • [Journal Article] A Querying Method over RDF-ized Health Level Seven v2.5 Messages Using Life Science Knowledge Resources2016

    • Author(s)
      Kawazoe Y, Tmai T, Ohe K
    • Journal Title

      JMIR Med Inform

      Volume: 4(2) Pages: 1-10

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-15H04793
  • [Journal Article] 電子的診療情報からの高次元特徴データを用 いたEHR Phenotypingアルゴリズムの開発2016

    • Author(s)
      河添 悦昌, 香川 璃奈, 山口 亮平, 桜井 亮太, 篠原 恵美子, 大江 和彦
    • Journal Title

      医療情報学

      Volume: 36 Pages: 672-675

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-15H04793
  • [Journal Article] 電子的診療情報からの高次元特徴データを用いたEHR Phenotypingアルゴリズムの開発2016

    • Author(s)
      河添 悦昌, 香川 璃奈, 山口 亮平, 桜井 亮太, 篠原 恵美子, 大江 和彦
    • Journal Title

      医療情報学

      Volume: 36 Pages: 672-675

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-16K09161
  • [Journal Article] Development of type 2 diabetes mellitus phenotyping framework using expert knowledge and machine learning approach2016

    • Author(s)
      Kagawa R, Kawazoe Y, Ida Y, Shinohara E, Tanaka K, Imai T, Ohe K
    • Journal Title

      Journal of diabetes science and technology

      Volume: 2016 Pages: 1-9

    • DOI

      10.1177/1932296816681584

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-15H04793, KAKENHI-PROJECT-16J05555
  • [Journal Article] A Querying Method over RDF-ized Health Level Seven v2.5 Messages Using Life Science Knowledge Resources2016

    • Author(s)
      Yoshimasa Kawazoe, Takeshi Imai, Kazuhiko Ohe
    • Journal Title

      JMIR Medical Informatics

      Volume: 4(2) Pages: 0-12

    • DOI

      10.2196/medinform.5275

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PROJECT-25870156
  • [Journal Article] 特定患者集団の抽出 (Phenotyping) 手法確立に向けた技術的課題に関する考察2016

    • Author(s)
      香川 璃奈, 河添 悦昌, 井田 有亮, 篠原 恵美子, 今井 健, 大江 和彦
    • Journal Title

      人工知能学会 第30回全国大会

      Volume: 2C4-OS-21a-5 Pages: 1-4

    • NAID

      130007421580

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-15H04793
  • [Presentation] 概念知識に基づいた診療録テキストの意味解析2019

    • Author(s)
      篠原恵美子, 河添悦昌, 今井健, 大江和彦
    • Organizer
      第1回日本メディカルAI学会学術集会
    • Data Source
      KAKENHI-PROJECT-18H04076
  • [Presentation] 電子カルテデータの活用とe-Phenotyping2018

    • Author(s)
      河添悦昌
    • Organizer
      第22回日本医療情報学会春季学術大会
    • Data Source
      KAKENHI-PROJECT-18H04076
  • [Presentation] 入院レセプトの主傷病名推定に有効な説明変数の検討2018

    • Author(s)
      山下英俊, 倉沢央, 河添悦昌, 大江和彦
    • Organizer
      第38回医療情報学連合大会
    • Data Source
      KAKENHI-PROJECT-18H04076
  • [Presentation] 入院レセプトの主傷病名推定に有効な説明変数の検討2018

    • Author(s)
      山下 英俊, 倉沢 央, 河添 悦昌, 大江 和彦
    • Organizer
      第38回医療情報学連合大会
    • Data Source
      KAKENHI-PROJECT-16K09161
  • [Presentation] 電子カルテデータの活用とe-Phenotyping2018

    • Author(s)
      河添 悦昌
    • Organizer
      第22回日本医療情報学会春季学術大会 シンポジウム 2018 in 新潟シンポジウム 大会企画セッション
    • Data Source
      KAKENHI-PROJECT-16K09161
  • [Presentation] Listing differential diagnoses from symptoms of patients with vertigo using knowledge graph2018

    • Author(s)
      Satoshi Iwai, Emiko Shinohara, Takeshi Imai, Yoshimasa Kawazoe, Kazuhiko Ohe
    • Organizer
      APAMI2018
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H04076
  • [Presentation] 診療情報によるPhenotypingの現状・限界2017

    • Author(s)
      河添悦昌, 香川璃奈, 今井健, 大江和彦
    • Organizer
      第37回医療情報学連合大会シンポジウム
    • Data Source
      KAKENHI-PROJECT-16K09161
  • [Presentation] 状態空間モデルと深層ニューラルネットワークによる検体検査結果の欠損値推定精度の比較2017

    • Author(s)
      河添悦昌, 倉沢央, 岩井聡, 香川璃奈, 大江和彦
    • Organizer
      第37回医療情報学連合大会
    • Data Source
      KAKENHI-PROJECT-16K09161
  • [Presentation] 電子的診療情報からの高次元特徴データを用いたEHR Phenotypingアルゴリズムの開発2016

    • Author(s)
      河添 悦昌, 香川 璃奈, 山口 亮平, 桜井 亮太, 篠原 恵美子, 大江 和彦
    • Organizer
      第36回医療情報学連合大会
    • Place of Presentation
      パシフィコ横浜
    • Year and Date
      2016-11-21
    • Data Source
      KAKENHI-PROJECT-16K09161
  • [Presentation] SSMIX2 標準化ストレージを用いた2型糖尿病 症例のEHR Phenotypingアルゴリズムの開発と評価2015

    • Author(s)
      香川璃奈、河添悦昌、井田有亮、篠原恵美子、今井健、大江和彦
    • Organizer
      第35回医療情報学連合大会
    • Place of Presentation
      沖縄
    • Year and Date
      2015-11-01
    • Data Source
      KAKENHI-PROJECT-15H04793
  • [Presentation] 病名を介する検査推薦システム構築に向けた同時オーダ ーすべき検査項目ペアの自動抽出方法の開発2015

    • Author(s)
      香川璃奈、篠原恵美子、河添悦昌、今井健、大江和彦
    • Organizer
      第19回日本医療情報学会春期学術大会
    • Place of Presentation
      仙台
    • Year and Date
      2015-06-11
    • Data Source
      KAKENHI-PROJECT-15H04793
  • [Presentation] Linked DataによるSS-MIX2標準化ストレージの活用に向けて - 薬剤の有害事象検出を目的としたfederation queryの実行可能性の検討 -2014

    • Author(s)
      河添悦昌
    • Organizer
      日本医療情報学会
    • Place of Presentation
      幕張メッセ国際会議場
    • Year and Date
      2014-11-08
    • Data Source
      KAKENHI-PROJECT-25870156
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