Analyses of questionnaire responses on thalidomide education and risk management system (terms) for prescribers and pharmacists by an extended association rule mining method.

  • At: 2017 FIP Congress in Seoul (South Korea)
  • Type: Poster
  • By: TAKATORI, Riho (Osaka University, School of Pharmaceutical Sciences, Suita, Japan)
  • Co-author(s): Riho Takatori: School of Pharmaceutical Sciences, Osaka University, Japan
    Yuko Shirakuni: Graduate School of Pharmaceutical Sciences, Osaka University, Japan
    Yu-Shi Tian: Graduate School of Information Sciences and Technologies, Osaka University, Japan
    Norihito Kawashita: Graduate School of Pharmaceutical Sciences, Osaka University, Japan
    Tatsuya Takagi: Graduate School of Pharmaceutical Sciences, Osaka University, Japan
  • Abstract:

    Methods

    We analyze the responses of the questionnaires (2009-2014) for prescribers and pharmacists using the association rule mining. First, the responses for the open-ended entries were combined with each other. Secondly, frequent words were classified into clusters. The association rule mining for each cluster was carried out. Thirdly, the rules..

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