| Project/Area Number |
25540096
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Intelligent informatics
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| Research Institution | Nara Institute of Science and Technology (2015)
Kyoto University (2013-2014) |
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Principal Investigator |
Aramaki Eiji 奈良先端科学技術大学院大学, 研究推進機構, 特任准教授 (70401073)
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| Co-Investigator(Kenkyū-buntansha) |
Morita Mizuki 岡山大学, 医学部附属病院, 准教授 (00519316)
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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 |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2015: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2013: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | 医療情報学 / 自然言語処理 / 匿名化 / プライバシー保護 / 医療情報 / 個人情報 |
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| Outline of Final Research Achievements |
The exponential growth in the amount of text data requires a method of a text de-identification. So far, most of de-identification methods detect the named entities, such as a person name, location name, IDs and so on, from the texts, and remove them. However, the named entity based methods suffer from a case that non-named entity conveys the personal information. To deal with this problem, this study proposes a new de-identification method that removes document specific expressions. By using this method, possible expression in a document appears in at least other k-1 documents.
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