2011 Fiscal Year Final Research Report
A study on application of the text mining technology to the adverse drug reaction signal detection system
| Project/Area Number |
21590571
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Medical sociology
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| Research Institution | Kagoshima University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
KUMAMOTO Ichiro 鹿児島大学, 大学院・医歯学総合研究科, 教授 (40225230)
UTO Yumiko 鹿児島大学, 大学院・医歯学総合研究科, 准教授 (50223582)
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| Project Period (FY) |
2009 – 2011
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| Keywords | 薬剤疫学 / data warehouse / data mining / 医薬品相互作用 / 医薬品副作用シグナル検知 |
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| Research Abstract |
This study was performed to evaluate the utility of a data mining algorithm for detection of adverse drug events. We used experimental data(medication history and test results) with the assumption of "an adverse event due to an interaction between an existing drug and a new drug after introduction of the new drug on to the market". We then evaluated whether we could identify this assumed drug-drug interaction. We developed a knowledge database from association rules extracted from medication history and test results before addition of the new drug. This rule was used for filtering the knowledge database in analysis of data including the new drug. We tried to perform an association analysis using actual prescription data, test results and medical records. We developed a knowledge database by patients with prostate cancer which left the hospital in 2008, and conducted an investigation into the drug adverse event of the prostatic patients who left the hospital in 2009. As a result, it was recognized that the maintenance of the knowledge dictionary was very important.
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