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

被引:0
|
作者
Trifiro, G. [1 ,2 ,3 ]
Pariente, A. [4 ,5 ,6 ]
Polimeni, G. [1 ,3 ]
Miremont-Salame, G. [4 ,5 ,6 ]
Catania, M. A. [1 ,3 ]
Salvo, F. [3 ]
David, A. [4 ,5 ,6 ]
Moore, N. [4 ,5 ,6 ]
Caputi, A. P. [1 ,3 ]
Sturkenboom, M. [2 ]
van der Lei, J. [2 ]
Fourrier-Reglat, A. [4 ,5 ,6 ]
机构
[1] IRCCS Ctr Neurolesi Bonino Pulejo, Messina, Italy
[2] Erasmus Univ, Dept Med Informat, Med Ctr, NL-3000 DR Rotterdam, Netherlands
[3] Univ Messina, Dept Clin & Expt Med & Pharmacol, Pharmacol Unit, Messina, Italy
[4] Univ Bordeaux, INSERM, U657, Bordeaux, France
[5] CHU, Bordeaux, France
[6] Univ Bordeaux, Dept Pharmacol, Bordeaux, France
关键词
Signal Generation; Emergency Department Visit; Drug Withdrawal; Anaphylactic Shock; Acute Liver Injury;
D O I
10.2165/00002018-200831100-00051
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
46
引用
收藏
页码:904 / 904
页数:1
相关论文
共 50 条
  • [21] Improving Screening of Adverse Drug Events in Large Electronic Healthcare Databases
    Pottegard, Anton
    Walker, Alec
    Iyasu, Solomon
    Kulldorff, Martin
    Nguyen, Michael
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2017, 26 : 29 - 30
  • [22] Mining unexpected temporal associations: Applications in detecting adverse drug reactions
    Jin, Huidong
    Chen, Jie
    He, Hongxing
    Williams, Graham J.
    Kelman, Chris
    O'Keefe, Christine M.
    IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, 2008, 12 (04): : 488 - 500
  • [23] Detecting possible vaccine adverse events in clinical notes of the electronic medical record
    Hazlehurst, Brian
    Naleway, Allison
    Mullooly, John
    VACCINE, 2009, 27 (14) : 2077 - 2083
  • [24] ACODF: a novel data clustering approach for data mining in large databases
    Tsai, CF
    Tsai, CW
    Wu, HC
    Yang, T
    JOURNAL OF SYSTEMS AND SOFTWARE, 2004, 73 (01) : 133 - 145
  • [25] A Novel Bayesian Hierarchical Model Using Two-Dimensional Groupings of Drugs and Adverse Events for Detection of Adverse Drug Reactions in Large Databases
    Brook, Mark N.
    Marino, David Prieto
    Evans, Stephen J. W.
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2012, 21 : 347 - 347
  • [26] Detection of Adverse Drug Events Detection: Data Agregation and Data Mining
    Chazard, Emmanuel
    Ficheur, Gregoire
    Merlin, Beatrice
    Genin, Michael
    Preda, Cristian
    Beuscart, Regis
    DETECTION AND PREVENTION OF ADVERSE DRUG EVENTS: INFORMATION TECHNOLOGIES AND HUMAN FACTORS, 2009, 148 : 75 - 84
  • [27] Applying data mining to detection of adverse drug reactions
    Koide, D
    Ohe, K
    MEDINFO 2001: PROCEEDINGS OF THE 10TH WORLD CONGRESS ON MEDICAL INFORMATICS, PTS 1 AND 2, 2001, 84 : 1421 - 1421
  • [28] Evaluation of the Value of Web Data for Detecting Drug Adverse Events
    Duh, Mei S.
    Cremieux, Pierre
    Van Audenrode, Marc
    Vekeman, Francis
    Karner, Paul
    Giguere-Duval, Philippe
    Xiao, Yongling
    Damron, Joe
    Greenberg, Paul
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2014, 23 : 235 - 236
  • [29] Identifying Adverse Drug Reactions Associated with Drug-Drug Interactions: Comparison of Data Mining of Spontaneous Reporting Databases
    Skvrce, N. Mirosevic
    Sarinic, V. Macolic
    Krnic, D.
    Tomic, S.
    Mucalo, I.
    Bozina, N.
    DRUG SAFETY, 2011, 34 (10) : 910 - 910
  • [30] Data mining in large databases using domain generalization graphs
    Hilderman, RJ
    Hamilton, HJ
    Cercone, N
    JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, 1999, 13 (03) : 195 - 234