Construction of an environment to support producing hypotheses from clinical information by using interactive retrieval

2017 Fiscal Year Final Research Report

• Project/Area Number: 15K00466
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Library and information science/Humanistic social informatics
• Research Institution: Kyoto University
• Principal Investigator: Okamoto Kazuya 京都大学, 医学研究科, 准教授 (60565018)
• Co-Investigator(Kenkyū-buntansha): 黒田 知宏 京都大学, 医学研究科, 教授 (10304156) ; 田村 寛 京都大学, 国際高等教育院, 特定教授 (40418760) ; 加藤 源太 京都大学, 医学研究科, 助教(移行) (20571277) ; 浦西 友樹 大阪大学, 基礎工学研究科, 助教 (00533738)
• Research Collaborator: SAWANO Ryosuke 京都大学, 大学院情報学研究科 ; Purnomo Husnul Khotimah 京都大学, 大学院情報学研究科 ; MORITA Yuji 京都大学, 大学院情報学研究科 ; GOKA Karin 京都大学, 大学院情報学研究科
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: データマイニング / 機械学習 / 診療情報

Outline of Final Research Achievements

In this research, we treated various types of clinical information comprehensively, and showed researchers various kinds of clinical information in a bird's-eye view, thereby constructing an environment in which researchers can discover hypotheses of awareness. In order to construct the mentioned environment, we set four themes: (i) calculation of important items in clinical information, (ii) information extraction from clinical documents, (iii) development of bird's-eye presentation method of medical information, (iv) creation of hypothesis generation support environment. Then, we set issues on each theme and presented solutions.

Free Research Field

医療情報学