| Project/Area Number |
24680027
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| Research Category |
Grant-in-Aid for Young Scientists (A)
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| Allocation Type | Partial Multi-year Fund |
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| Research Field |
Library and information science/Humanistic social informatics
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| Research Institution | National Institute of Public Health |
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Principal Investigator |
OKUMURA Takashi 国立保健医療科学院, その他部局等, 特命上席主任研究官 (50553400)
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| Project Period (FY) |
2012-04-01 – 2014-03-31
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥18,200,000 (Direct Cost: ¥14,000,000、Indirect Cost: ¥4,200,000)
Fiscal Year 2013: ¥8,580,000 (Direct Cost: ¥6,600,000、Indirect Cost: ¥1,980,000)
Fiscal Year 2012: ¥9,620,000 (Direct Cost: ¥7,400,000、Indirect Cost: ¥2,220,000)
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| Keywords | 医療情報 / 疾患知識ベース / 診断支援システム |
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| Research Abstract |
Improvement of information systems for clinical practices requires a disease knowledge base that contains possible clinical findings and laboratory examination results for each disease. However, compilation of such knowledge base necessitates considerable time and money. Accordingly, this study proposed to hybridize the data for major diseases, manually compiled to guarantee necessary quality, and the data for rare diseases, automatically generated for broader coverage, in the aim of efficient compilation of practical disease knowledge base. Additionally, toward quality control of the resulting knowledge base, a diagnostic decision support system is built with a feedback mechanism to collect usage information to efficiently improve the quality of the disease knowledge base. The research yielded disease knowledge base and a diagnostic decision support system with practical quality, as well as various knowledge about automatic acquisition of disease knowledge out of medical literature.
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