Automatic Structuring for Dummy Health Records
Project/Area Number |
22650025
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Research Category |
Grant-in-Aid for Challenging Exploratory Research
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Allocation Type | Single-year Grants |
Research Field |
Intelligent informatics
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Research Institution | The University of Tokyo |
Principal Investigator |
ARAMAKI Eiji 東京大学, 知の構造化センター, 講師 (70401073)
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Project Period (FY) |
2010 – 2012
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Project Status |
Completed (Fiscal Year 2012)
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Budget Amount *help |
¥3,350,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥450,000)
Fiscal Year 2012: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2011: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2010: ¥1,400,000 (Direct Cost: ¥1,400,000)
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Keywords | 自然言語処理 / 医療情報学 / 言語処理 / 医療情報 / 情報検索 / テキストマイニング / 知識処理 |
Research Abstract |
The use of Electronic Health Records (EHR) in hospitals is increasing rapidly everywhere. They contain much clinical information about a patient’s health, including the frequency of drug usage, related side-effects, and so on, which facilitates unprecedented large-scale research. Nevertheless, extracting clinical information from the reports is not easy because they are written in natural language. This study specifically examines clinical information using dummy records that are also build by this project.
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Report
(4 results)
Research Products
(23 results)
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[Presentation] Adverse-Effect Relations Extraction from Massive Clinical Records2010
Author(s)
Yasuhide Miura, Eiji Aramaki, Tomoko Ohkuma, Masatsugu Tonoike, Daigo Sugihara, Hiroshi Masuichi, Kazuhiko Ohe
Organizer
COLING 2010 Workshop (In cooperation with Info-plosion) The Second International Workshop on NLP Challenges in the Information Explosion Era (NLPIX2010)
Place of Presentation
Beijing, China
Year and Date
2010-06-21
Related Report
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