Information Extraction from ungrammatical and fragmented texts

2010 Fiscal Year Final Research Report

• Project/Area Number: 20680006
• Research Category: Grant-in-Aid for Young Scientists (A)
• Allocation Type: Single-year Grants
• Research Field: Intelligent informatics
• Research Institution: The University of Tokyo
• Principal Investigator: ARAMAKI Eiji The University of Tokyo, 知の構造化センター, 特任講師 (70401073)
• Project Period (FY): 2008 – 2010
• Keywords: 言語処理 / 医療情報 / テキストマイニング / 知識処理

Research Abstract

With the rapidly growing use of electronic health records, the possibility of large-scale clinical information extraction has drawn much attention. It is not, however, easy to extract information because these reports are written in natural language. To address this problem, this project aimed to develop an information extraction system that handles medical records. We also develop a dummy text data, which could be a helpful material for the future studies.

Research Products

• [Journal Article] The Internal Structure of a Disease Name and its Application for ICD Coding (2010)
  • Author(s): Emiko Yamada Eiji Aramaki, Takeshi Imai, Kazuhiko Ohe
  • Journal Title: Stud Health Technol Inform.2010 Pages: 1010-1014
• [Journal Article] Extraction of Adverse Drug Effects from Clinical Records (2010)
  • Author(s): Eiji Aramaki, Yasuhide Miura, Masatsugu Tonoike, Tomoko Ohkuma, Hiroshi Mashuichi, Kayo Waki, Kazuhiko Ohe
  • Journal Title: Stud Health Technol Inform.2010 Vol.,No. Pages: 739-743
• [Presentation] Adverse-Effect Relations Extraction from Massive Clinical Records (2010)
  • 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 (NLPIX 2010)
  • Place of Presentation: 中国(北京)
  • Year and Date: 2010-08-29
• [Remarks] ホームページ等
  • URL: http://mednlp.jp