| Project/Area Number |
25870156
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Medical and hospital managemen
Life / Health / Medical informatics
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| Research Institution | The University of Tokyo |
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Principal Investigator |
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2013: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Keywords | 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 |
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| Outline of Final Research Achievements |
This study aimed to develop a clinical information retrieval system that utilize life-science knowledge resources for query expansion. We developed a generic method to convert HL7 version 2.5 messages into the RDF, and also converted five kinds of existing drug databases into RDF and provided explicit links between the corresponding items among them. With those linked drug data, we then developed a method for query expansion to search the RDF-ized HL7 v2.5 messages using semantic information on drug classes. An evaluation of the proposed method in use case for detecting adverse drug events showed that the execution time of the developed queries increased with the amount of clinical data without diverging.
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