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Construction of Dynamic Patho-Mechanics Based on Medical Informataion Database

Research Project

Project/Area Number 24590615
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Medical sociology
Research InstitutionKochi University

Principal Investigator

OKUHARA Yoshiyasu  高知大学, 教育研究部医療学系, 教授 (40233473)

Co-Investigator(Kenkyū-buntansha) HATAKEYAMA Yutaka  高知大学, 教育研究部医療学系, 準教授 (00376956)
WATABE Teruaki  高知大学, 教育研究部医療学系, 講師 (90325415)
KATAOKA Hiromi  高知大学, 教育研究部医療学系, 助教 (80398049)
NAKAJIMA Noriaki  高知大学, 教育研究部医療学系, 助教 (00335928)
Project Period (FY) 2012-04-01 – 2015-03-31
Project Status Completed (Fiscal Year 2014)
Budget Amount *help
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2013: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2012: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Keywords病態推移予測 / 病院情報システム / 予防医学 / 病態予測 / 医療データ2次利用 / 糖尿病 / 病態予測モデル / 状態空間モデル / 粒子型フィルタ / 階層ベイズモデル / 数理生理学 / 電子化医療データ
Outline of Final Research Achievements

Combining theoretical considerations and the data stored in the hospital information system, we tried to build a model to describe and predict the disease state transition such as lifestyle-related diseases. With this approach , we aimed at creation of dynamic patho-mechanics utilizing the data of the hospital information system.
The increase of the prediction error due to the presence of missing values in the actual clinical data, has been solved by using a particle filter, and enables long-term prediction process. Also, instead of estimating from the data alone, the application of hierarchical Bayesian model that incorporates the appropriate mathematical model has shown to be promising for transition prediction of the condition. Furthermore, even when the rapid prediction is required, we have shown examples of useful predictions from limited data. With these results, we have shown the possibility of a dynamic patho-mechanics utilizing the data of the hospital information system.

Report

(4 results)
  • 2014 Annual Research Report   Final Research Report ( PDF )
  • 2013 Research-status Report
  • 2012 Research-status Report
  • Research Products

    (7 results)

All 2015 2014 Other

All Journal Article (2 results) (of which Peer Reviewed: 2 results,  Acknowledgement Compliant: 2 results) Presentation (5 results)

  • [Journal Article] Prediction Model for Glucose Metabolism Based on Lipid Metabolism2014

    • Author(s)
      Y. Hatakeyama, H. Kataoka, N. Nakajima, T. Watabe, S. Fujimoto, Y. Okuhara
    • Journal Title

      Methods of Information in Medicine

      Volume: 53 Issue: 05 Pages: 357-363

    • DOI

      10.3414/me14-01-0034

    • Related Report
      2014 Annual Research Report
    • Peer Reviewed / Acknowledgement Compliant
  • [Journal Article] A hierarchical Bayesian framework to infer the progression level to diabetes based on deficient clinical data2014

    • Author(s)
      Teruaki Watabe, Yoshiyasu Okuhara and Yusuke Sagara
    • Journal Title

      Computers in Biology and Medicine

      Volume: 50 Pages: 107-115

    • DOI

      10.1016/j.compbiomed.2014.04.017

    • Related Report
      2013 Research-status Report
    • Peer Reviewed / Acknowledgement Compliant
  • [Presentation] モンテカルロ手法による数理モデルを利用したインスリン値の変動推定2015

    • Author(s)
      畠山 豊,片岡 浩巳,中島 典昭,渡部 輝明,奥原 義保
    • Organizer
      第19回日本医療情報学会春季学術大会
    • Place of Presentation
      仙台国際センター(宮城県・仙台市)
    • Year and Date
      2015-06-12 – 2015-06-13
    • Related Report
      2014 Annual Research Report
  • [Presentation] Level evaluation system for Cardiotocography2014

    • Author(s)
      Yutaka Hatakeyama, Hiromi Kataoka, Noriaki Nakajima, Teruaki Watabe, Yoshiyasu Okuhara
    • Organizer
      Joint 7th International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on Advanced Intelligent Systems
    • Place of Presentation
      Kita-Kyushu(Japan)
    • Year and Date
      2014-12-03 – 2014-12-06
    • Related Report
      2014 Annual Research Report
  • [Presentation] 入院患者における急性腎障害(AKI)発症の事前予測モデルの構築2014

    • Author(s)
      三木 健生、片岡 浩巳、畠山 豊、堀野 太郎、寺田 典生、奥原 義保
    • Organizer
      第57回日本腎臓学会総会
    • Place of Presentation
      パシフィコ横浜(神奈川県・横浜市)
    • Year and Date
      2014-07-04 – 2014-07-06
    • Related Report
      2014 Annual Research Report
  • [Presentation] 脂質代謝を考慮した糖尿病における病態予測モデルの構築

    • Author(s)
      畠山 豊、片岡 浩巳、中島 典昭、渡部 輝明、奥原 義保
    • Organizer
      第16回日本医療情報学会春季学術大会
    • Place of Presentation
      函館国際ホテル(北海道)
    • Related Report
      2012 Research-status Report
  • [Presentation] 「欠損検査データ」に基いた病態推移の推定とその階層ベイズによる数学的枠組み

    • Author(s)
      渡部輝明、中島典昭、奥原義保、相良祐輔
    • Organizer
      日本医療情報学会中国四国支部、第30回中国四国医療情報学研究会
    • Place of Presentation
      ウェルピア伊予(愛媛)
    • Related Report
      2012 Research-status Report

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Published: 2013-05-31   Modified: 2019-07-29  

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