Computerized data mining for adverse drug events in an outpatient setting

被引：0
|
作者：
Honigman, B
Bates, DW
Light, P
机构：
[1] Univ Colorado, Sch Med, Div Emergency Med, Denver, CO USA
[2] Howard Med Sch, Div Gen Internal Med, Boston, MA USA
[3] Micromedix Inc, Profess Serv, Englewood, CO USA
来源：
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION | 1998年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
引用
收藏
页码：1018 / 1018
页数：1
相关论文
共 50 条
  • [41] Commonality of Drug-associated Adverse Events Detected by 4 Commonly Used Data Mining Algorithms
    Sakaeda, Toshiyuki
    Kadoyama, Kaori
    Minami, Keiko
    Okuno, Yasushi
    INTERNATIONAL JOURNAL OF MEDICAL SCIENCES, 2014, 11 (05): : 461 - 465
  • [42] Data mining for adverse drug events with a propensity score matched tree-based scan statistic
    Wang, Shirley V.
    Maro, Judith C.
    Baro, Elande
    Izem, Rima
    Dashevsky, Inna
    Rogers, James R.
    Nguyen, Michael
    Gagne, Joshua J.
    Patorno, Elisabetta
    Huybrechts, Krista F.
    Major, Jacqueline M.
    Zhou, Esther
    Reidy, Megan
    Cosgrove, Austin
    Schneeweiss, Sebastian
    Kulldorff, Martin
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2018, 27 : 347 - 347
  • [43] Comparison of Data Mining Methods for the Signal Detection of Adverse Drug Events with a Hierarchical Structure in Postmarketing Surveillance
    Park, Goeun
    Jung, Heesun
    Heo, Seok-Jae
    Jung, Inkyung
    LIFE-BASEL, 2020, 10 (08): : 1 - 22
  • [44] Adverse drug events in the prevention and treatment of COVID-19: A data mining study on the FDA adverse event reporting system
    Guo, Qiang
    Duan, Shaojun
    Liu, Yaxi
    Yuan, Yinxia
    FRONTIERS IN PHARMACOLOGY, 2022, 13
  • [45] Computerized prescription order entry and adverse drug events in pediatrics: a systematic review
    Lambert Passos, S.
    Barbosa, N. O.
    Mayon Neves, L. A. A.
    Motta, P. A.
    dos Santos, J. L. B.
    de Sousa, F. M.
    Cavalini, L. T.
    EUROPEAN JOURNAL OF PUBLIC HEALTH, 2020, 30 : V85 - V85
  • [46] 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
  • [47] Data mining clinical records to detect adverse events.
    Coster, TS
    Szarfman, A
    Russell, C
    CLINICAL PHARMACOLOGY & THERAPEUTICS, 2005, 77 (02) : P1 - P1
  • [48] Reduction of adverse drug events and medication errors in a community hospital setting
    Smith, DS
    Haig, K
    NURSING CLINICS OF NORTH AMERICA, 2005, 40 (01) : 25 - +
  • [49] Text Mining for Adverse Drug Events: the Promise, Challenges, and State of the Art
    Rave Harpaz
    Alison Callahan
    Suzanne Tamang
    Yen Low
    David Odgers
    Sam Finlayson
    Kenneth Jung
    Paea LePendu
    Nigam H. Shah
    Drug Safety, 2014, 37 : 777 - 790
  • [50] Text Mining for Adverse Drug Events: the Promise, Challenges, and State of the Art
    Harpaz, Rave
    Callahan, Alison
    Tamang, Suzanne
    Low, Yen
    Odgers, David
    Finlayson, Sam
    Jung, Kenneth
    LePendu, Paea
    Shah, Nigam H.
    DRUG SAFETY, 2014, 37 (10) : 777 - 790
12345