Data Mining on Large Health Record Databases for Detecting Adverse Reactions: Which Events to Monitor?

被引：0
|
作者：
G. Trifiro’
A. Pariente
G. Polimeni
G. Miremont-Salame’
M. A. Catania
F. Salvo
A. David
N. Moore
A. P. Caputi
M. Sturkenboom
J. van der Lei
A. Fourrier-Reglat
机构：
[1] IRCCS Centro Neurolesi “Bonino-Pulejo”,Department of Medical Informatics
[2] Erasmus University Medical Center Rotterdam,Department of Clinical and Experimental Medicine and Pharmacology, Pharmacology Unit
[3] University of Messina,Department of Pharmacology
[4] Inserm U 657 University of Bordeaux,undefined
[5] CHU Bordeaux,undefined
[6] University of Bordeaux,undefined
来源：
Drug Safety | 2008年 / 31卷
关键词：
Signal Generation; Emergency Department Visit; Drug Withdrawal; Anaphylactic Shock; Acute Liver Injury;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：885 / 885
相关论文
共 50 条
  • [1] Data Mining on Large Health Record Databases for Detecting Adverse Reactions: Which Events to Monitor?
    Trifiro, G.
    Pariente, A.
    Polimeni, G.
    Miremont-Salame, G.
    Catania, M. A.
    Salvo, F.
    David, A.
    Moore, N.
    Caputi, A. P.
    Sturkenboom, M.
    van der Lei, J.
    Fourrier-Reglat, A.
    DRUG SAFETY, 2008, 31 (10) : 904 - 904
  • [2] Data Mining on Electronic Health Record Databases for Signal Detection in Pharmacovigilance: Which Events To Monitor?
    Trifiro, Gianluca
    Pariente, Antoine
    Coloma, Preciosa M.
    Kors, Jan A.
    Polimeni, Giovanni
    Miremont-Salame, Ghada
    Catania, Maria Antonietta
    Salvo, Francesco
    David, Anaelle
    Moore, Nicholas
    Caputi, Achille P.
    Sturkenboom, Miriam
    Molokhia, Mariam
    Cox, Julia Hippisley
    Diaz, Carlos
    van der Lei, Johan
    Fourrier-Reglat, Annie
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2009, 18 : S212 - S212
  • [3] Data mining on electronic health record databases for signal detection in pharmacovigilance: which events to monitor?
    Trifiro, Gianluca
    Pariente, Antoine
    Coloma, Preciosa M.
    Kors, Jan A.
    Polimeni, Giovanni
    Miremont-Salame, Ghada
    Catania, Maria Antonietta
    Salvo, Francesco
    David, Anaelle
    Moore, Nicholas
    Caputi, Achille Patrizio
    Sturkenboom, Miriam
    Molokhia, Mariam
    Hippisley-Cox, Julia
    Acedo, Carlos Diaz
    van der Lei, Johan
    Fourrier-Reglat, Annie
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2009, 18 (12) : 1176 - 1184
  • [4] Detecting adverse drug events through data mining
    Glasgow, Justin M.
    Kaboli, Peter J.
    AMERICAN JOURNAL OF HEALTH-SYSTEM PHARMACY, 2010, 67 (04) : 317 - 320
  • [5] Accuracy of using automated methods for detecting adverse events from electronic health record data: a research protocol
    Christian M Rochefort
    David L Buckeridge
    Alan J Forster
    Implementation Science, 10
  • [6] Accuracy of using automated methods for detecting adverse events from electronic health record data: a research protocol
    Rochefort, Christian M.
    Buckeridge, David L.
    Forster, Alan J.
    IMPLEMENTATION SCIENCE, 2015, 10
  • [7] Temporal Data Mining for Adverse Events Following Immunization in Nationwide Danish Healthcare Databases
    Svanstrom, Henrik
    Callreus, Torbjorn
    Hviid, Anders
    DRUG SAFETY, 2010, 33 (11) : 1015 - 1025
  • [8] Temporal Data Mining for Adverse Events Following Immunization in Nationwide Danish Healthcare Databases
    Henrik Svanström
    Torbjörn Callréus
    Anders Hviid
    Drug Safety, 2010, 33 : 1015 - 1025
  • [9] Feasibility of Electronic Health Record-Based Triggers in Detecting Dental Adverse Events
    Kalenderian, Elsbeth
    Obadan-Udoh, Enihomo
    Yansane, Alfa
    Kent, Karla
    Hebballi, Nutan B.
    Delattre, Veronique
    Kookal, Krisna Kumar
    Tokede, Oluwabunmi
    White, Joel
    Walji, Muhammad F.
    APPLIED CLINICAL INFORMATICS, 2018, 9 (03): : 646 - 653
  • [10] Handling large databases in data mining
    Owrang, MM
    CHALLENGES OF INFORMATION TECHNOLOGY MANAGEMENT IN THE 21ST CENTURY, 2000, : 121 - 125
12345