An Extraction Method of Medication Usage Information Using Clue Words from Illness Survival Blogs

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  • Kitajima Shiho
    Graduate School of Information Science and Technology, Hokkaido University
  • Araki Kenji
    Graduate School of Information Science and Technology, Hokkaido University
  • Rzepka Rafal
    Graduate School of Information Science and Technology, Hokkaido University

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  • 闘病ブログを対象とした手がかり語を用いた薬剤服用情報の抽出手法
  • トウビョウ ブログ オ タイショウ ト シタ テガカリゴ オ モチイタ ヤクザイ フクヨウ ジョウホウ ノ チュウシュツ シュホウ

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Abstract

It is very useful to constructing system that can predict future situation of illness from medical records written by patients in natural language because it will help to ensure informed consent. As the first step, we propose a method to extract description of the effect caused by taking the medicine as a triplet of expressions - medicine name, object of change, and its effect from illness survival blogs. There is no database of evaluation expressions for medical treatment. Moreover usual extraction patterns are not suitable for processing these blogs. Therefore, we decided to extract a expressions triplet using specific clue words and by parsing results. In the experiments, we have confirmed that medication usage information can be extracted with high accuracy compared to other existing methods.

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