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

  • In: Poster presentation
  • At: Seoul (South Korea) (2017)
  • Type: Poster
  • Poster code: POS-SAPS-054
  • 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:

    Background

    Thalidomide has been reapproved for multiple myeloma or erythema nodosum leprosum under TERMS in Japan. The third-party assessment committee is conducting surveys to evaluate TERMS. The questionnaires consist of both of open- and closed-ended entries.

    Purpose

    Our aim is to assess whether extended association rule mining detects the signals ..

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Last update 4 October 2019

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