Study on Adverse Events ofDrugs usingData Mining

2012 Fiscal Year Final Research Report

• Project/Area Number: 21590157
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Single-year Grants
• Section: 一般
• Research Field: Medical pharmacy
• Research Institution: Osaka University
• Principal Investigator: TAKAGI Tatsuya 大阪大学, 薬学研究科(研究院), 教授 (80144517)
• Co-Investigator(Kenkyū-buntansha): UEJIMA Etsuko 大阪大学, 大学院・薬学研究科, 教授 (80432441) ; KAWASHITA Norihito 大阪大学, 大学院・薬学研究科, 助教 (00423111) ; OKAMOTO Kousuke 大阪大学, 大学院・薬学研究科, 助教 (70437309)
• Project Period (FY): 2009 – 2012
• Keywords: AERS / Stevens-Johnson 症候群 / シグナル検出 / データマイニング / ノンパラメトリック回帰 / 相関ルール

Research Abstract

The database constructed by the FDA Adverse Event Reporting System (AERS) was used in order to find some drugs which are more likely to causeStevens - Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) using data mining methods. Especially, we utilized association rule applying to the combinations of drugs in each patient. As a result of the mining, we constructed a new process to find significant suspect drugs. In addition we also revealed some chemical features which frequently exist in the suspect drugs.

Research Products

• [Journal Article] A practical estimation method for analyzing adverse drug reactions using data mining (2013)
  • Author(s): Y. Shirakuni, K. Okamoto, E. Uejima, S. Inui, J. Takahara, T. Ohgaru, H. Yamasaki, Y.-S. Tian, N. Kawashita, R. Inoue, T. Yasunaga, T. Takagi
  • Journal Title: Therapeutic Innovation & Regulatory Science Volume: 47(2) Pages: 235-241
• [Journal Article] Signal Detection of Drug Complications Applying Association Rule Learning for Stevens-Johnson Syndrome (2009)
  • Author(s): Y. Shirakuni, K. Okamoto, N. Kawashita, T. Yasunaga, T. Takagi
  • Journal Title: Journal of Computer Aided Chemistry Volume: 10 Pages: 118-127
  • DOI: DOI:10.2751/jcac.10.118
• [Presentation] Prediction of the Likelihood of Adverse Reactions of Medicines using Chemical Properties (2011)
  • Author(s): T. Takagi
  • Organizer: ICCA-LRI and Heaslth Canada Symposium
  • Place of Presentation: Quebec-city
  • Year and Date: 20110000
• [Presentation] 多変量解析法を用いた疾患・副作用の予後予測支援 (2010)
  • Author(s): 高木達也
  • Organizer: 日本薬学会第130 年会
  • Place of Presentation: 岡山
  • Year and Date: 20100000
• [Presentation] FDA データベースを用いたデータマイニング (2010)
  • Author(s): 井上藍、白國優子、川下理日人、岡本晃典、高木達也
  • Organizer: 第33回情報化学討論会
  • Place of Presentation: 徳島
  • Year and Date: 20100000
• [Presentation] 新規ノンパラメトリック回帰手法の応用 (2009)
  • Author(s): 米倉聡、岡本晃典、川下理日人、日高伸之介、山崎広之、川瀬雅也、高木達也
  • Organizer: 第32回情報化学討論会
  • Place of Presentation: 宇部
  • Year and Date: 20090000
• [Presentation] Statistical Study on Chemical Risk Factors for SJS/TEN (2009)
  • Author(s): Y. Shirakuni, E. Uejima, J. Takahara, K. Okamoto, N. Kawashita, T. Yasunaga, S. Inui, T. Takagi
  • Organizer: 9th ISoP Annual Meeting
  • Place of Presentation: Reims, France
  • Year and Date: 20090000