메뉴 건너뛰기




Volumn 59, Issue , 2016, Pages 42-48

Early identification of adverse drug reactions from search log data

Author keywords

Adverse drug reactions; Pharmacovigilance; Search log analysis

Indexed keywords

COMPUTER APPLICATIONS;

EID: 84961653821     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2015.11.005     Document Type: Article
Times cited : (49)

References (49)
  • 1
    • 0032522873 scopus 로고    scopus 로고
    • Incidence of adverse drug reactions in hospitalized patients: a meta-analysis of prospective studies
    • Lazarou J., Pomeranz B.H., Corey P.N. Incidence of adverse drug reactions in hospitalized patients: a meta-analysis of prospective studies. J. Am. Med. Assoc. 1998, 279(15):1200-1205.
    • (1998) J. Am. Med. Assoc. , vol.279 , Issue.15 , pp. 1200-1205
    • Lazarou, J.1    Pomeranz, B.H.2    Corey, P.N.3
  • 2
    • 0031032055 scopus 로고    scopus 로고
    • Adverse drug events in hospitalized patients. Excess length of stay, extra costs, and attributable mortality
    • Classen D.C., Pestotnik S.L., Evans R.S., Lloyd J.F., Burke J.P. Adverse drug events in hospitalized patients. Excess length of stay, extra costs, and attributable mortality. J. Am. Med. Assoc. 1997, 277(4):301-306.
    • (1997) J. Am. Med. Assoc. , vol.277 , Issue.4 , pp. 301-306
    • Classen, D.C.1    Pestotnik, S.L.2    Evans, R.S.3    Lloyd, J.F.4    Burke, J.P.5
  • 3
    • 0037238861 scopus 로고    scopus 로고
    • Adverse drug event monitoring at the food and drug administration
    • Ahmad S.R. Adverse drug event monitoring at the food and drug administration. J. Gen. Intern. Med. 2003, 18(1):57-60.
    • (2003) J. Gen. Intern. Med. , vol.18 , Issue.1 , pp. 57-60
    • Ahmad, S.R.1
  • 5
    • 0036300732 scopus 로고    scopus 로고
    • Use of screening algorithms and computer systems to efficiently signal higher-than-expected combinations of drugs and events in the US FDA's spontaneous reports database
    • Szarfman A., Machado S.G., O'Neill R.T. Use of screening algorithms and computer systems to efficiently signal higher-than-expected combinations of drugs and events in the US FDA's spontaneous reports database. Drug Saf. 2002, 25(6):381-392.
    • (2002) Drug Saf. , vol.25 , Issue.6 , pp. 381-392
    • Szarfman, A.1    Machado, S.G.2    O'Neill, R.T.3
  • 6
    • 84878260825 scopus 로고    scopus 로고
    • Performance of pharmacovigilance signal-detection algorithms for the FDA adverse event reporting system
    • Harpaz R., DuMouchel W., LePendu P., Bauer-Mehren A., Ryan P., Shah N.H. Performance of pharmacovigilance signal-detection algorithms for the FDA adverse event reporting system. Nat. Clin. Pharmacol. Therap. 2013, 93(6):539-546.
    • (2013) Nat. Clin. Pharmacol. Therap. , vol.93 , Issue.6 , pp. 539-546
    • Harpaz, R.1    DuMouchel, W.2    LePendu, P.3    Bauer-Mehren, A.4    Ryan, P.5    Shah, N.H.6
  • 10
    • 80053254385 scopus 로고    scopus 로고
    • Using information mining of the medical literature to improve drug safety
    • Shetty K.D., Dalal S.R. Using information mining of the medical literature to improve drug safety. J. Am. Med. Inform. Assoc. 2011, 18(5):668-674.
    • (2011) J. Am. Med. Inform. Assoc. , vol.18 , Issue.5 , pp. 668-674
    • Shetty, K.D.1    Dalal, S.R.2
  • 12
    • 84904749526 scopus 로고    scopus 로고
    • Safety signal detection: the relevance of literature review
    • Pontes H., Clement M., Rollason V. Safety signal detection: the relevance of literature review. Drug Saf. 2014, 37(7):471-479.
    • (2014) Drug Saf. , vol.37 , Issue.7 , pp. 471-479
    • Pontes, H.1    Clement, M.2    Rollason, V.3
  • 13
    • 84859213965 scopus 로고    scopus 로고
    • Facilitating adverse drug event detection in pharmacovigilance databases using molecular structure similarity: application to rhabdomyolysis
    • Vilar S., Harpaz R., Chase H.S., Costanzi S., Rabadan R., Friedman C. Facilitating adverse drug event detection in pharmacovigilance databases using molecular structure similarity: application to rhabdomyolysis. J. Am. Med. Inform. Assoc. 2011, 18(1):73-80.
    • (2011) J. Am. Med. Inform. Assoc. , vol.18 , Issue.1 , pp. 73-80
    • Vilar, S.1    Harpaz, R.2    Chase, H.S.3    Costanzi, S.4    Rabadan, R.5    Friedman, C.6
  • 14
    • 60349110472 scopus 로고    scopus 로고
    • Data-driven methods to discover molecular determinants of serious adverse drug events
    • Chiang A.P., Butte A.J. Data-driven methods to discover molecular determinants of serious adverse drug events. Nat. Clin. Pharmacol. Therap. 2009, 85(3):259-268.
    • (2009) Nat. Clin. Pharmacol. Therap. , vol.85 , Issue.3 , pp. 259-268
    • Chiang, A.P.1    Butte, A.J.2
  • 18
    • 79955778144 scopus 로고    scopus 로고
    • Accelerated clinical discovery using self-reported patient data collected online and a patient matching algorithm
    • Wicks P., Vaughan T.E., Massagli M.P., Heywood J. Accelerated clinical discovery using self-reported patient data collected online and a patient matching algorithm. Nat. Biotechnol. 2011, 29(5):411-414.
    • (2011) Nat. Biotechnol. , vol.29 , Issue.5 , pp. 411-414
    • Wicks, P.1    Vaughan, T.E.2    Massagli, M.P.3    Heywood, J.4
  • 19
    • 84961567827 scopus 로고    scopus 로고
    • Pew Internet & American Life Project: Health Online 2013.
    • (Accessed July 2015).
    • Pew Research Center. Pew Internet & American Life Project: Health Online 2013. (Accessed July 2015). http://www.pewinternet.org/2013/01/15/health-online-2013.
  • 23
    • 84881082986 scopus 로고    scopus 로고
    • Post-market drug surveillance without trial costs: discovery of adverse drug reactions through large-scale analysis of web search queries
    • Yom-Tov E., Gabrilovich E. Post-market drug surveillance without trial costs: discovery of adverse drug reactions through large-scale analysis of web search queries. J. Med. Internet Res. 2013, 15(6):e124.
    • (2013) J. Med. Internet Res. , vol.15 , Issue.6
    • Yom-Tov, E.1    Gabrilovich, E.2
  • 24
    • 84873655668 scopus 로고    scopus 로고
    • When Google got flu wrong
    • Butler D. When Google got flu wrong. Nature 2013, 494(7436):155-156.
    • (2013) Nature , vol.494 , Issue.7436 , pp. 155-156
    • Butler, D.1
  • 25
    • 80051831902 scopus 로고    scopus 로고
    • Assessing Google flu trends performance in the United States during the 2009 influenza virus A (H1N1) pandemic
    • Cook S., Conrad C., Fowlkes A.L., Mohebbi M.H. Assessing Google flu trends performance in the United States during the 2009 influenza virus A (H1N1) pandemic. PLoS ONE 2011, 6(8):e23610.
    • (2011) PLoS ONE , vol.6 , Issue.8
    • Cook, S.1    Conrad, C.2    Fowlkes, A.L.3    Mohebbi, M.H.4
  • 26
    • 84896056107 scopus 로고    scopus 로고
    • The parable of Google flu: traps in big data analysis
    • Lazer D., Kennedy R., King G., Vespigiani A. The parable of Google flu: traps in big data analysis. Science 2014, 343(6176):1203-1205.
    • (2014) Science , vol.343 , Issue.6176 , pp. 1203-1205
    • Lazer, D.1    Kennedy, R.2    King, G.3    Vespigiani, A.4
  • 27
    • 0037197979 scopus 로고    scopus 로고
    • A simple model of global cascades on random networks
    • Watts D. A simple model of global cascades on random networks. Proc. Natl. Acad. Sci. 2002, 99(9):5766.
    • (2002) Proc. Natl. Acad. Sci. , vol.99 , Issue.9 , pp. 5766
    • Watts, D.1
  • 30
    • 84926426303 scopus 로고    scopus 로고
    • Zoo or savannah? Choice of training ground for evidence-based pharmacovigilance
    • Noren G.N., Caster O., Juhlin K., Lindquist M. Zoo or savannah? Choice of training ground for evidence-based pharmacovigilance. Drug Saf. 2014, 37(9):655-659.
    • (2014) Drug Saf. , vol.37 , Issue.9 , pp. 655-659
    • Noren, G.N.1    Caster, O.2    Juhlin, K.3    Lindquist, M.4
  • 31
    • 84922104361 scopus 로고    scopus 로고
    • Comment on: "Zoo or Savannah? Choice of training ground for evidence-based pharmacovigilance"
    • Harpaz R., DuMouchel W., Shah N.H. Comment on: "Zoo or Savannah? Choice of training ground for evidence-based pharmacovigilance". Drug Saf. 2015, 38(1):113-114.
    • (2015) Drug Saf. , vol.38 , Issue.1 , pp. 113-114
    • Harpaz, R.1    DuMouchel, W.2    Shah, N.H.3
  • 36
    • 84961651031 scopus 로고    scopus 로고
    • (Accessed July 2015).
    • MedWatch, (Accessed July 2015). http://www.fda.gov/Safety/MedWatch.
  • 41
    • 55149100303 scopus 로고    scopus 로고
    • Learning about the world through long-term query logs
    • Richardson M. Learning about the world through long-term query logs. ACM Trans. Web 2008, 2(4):21.
    • (2008) ACM Trans. Web , vol.2 , Issue.4 , pp. 21
    • Richardson, M.1
  • 42
    • 68149124572 scopus 로고    scopus 로고
    • Quantitative signal detection using spontaneous ADR reporting
    • Bate A., Evans S.J.W. Quantitative signal detection using spontaneous ADR reporting. Pharmacoepidemiol. Drug Saf. 2009, 18(6):427-436.
    • (2009) Pharmacoepidemiol. Drug Saf. , vol.18 , Issue.6 , pp. 427-436
    • Bate, A.1    Evans, S.J.W.2
  • 43
    • 0023710206 scopus 로고
    • Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach
    • DeLong E.R., DeLong D.M., Clarke-Pearson D.L. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 1988, 44:837-845.
    • (1988) Biometrics , vol.44 , pp. 837-845
    • DeLong, E.R.1    DeLong, D.M.2    Clarke-Pearson, D.L.3
  • 45
    • 0038931405 scopus 로고    scopus 로고
    • Bayesian data mining in large frequency tables, with an application to the FDA spontaneous reporting system
    • DuMouchel W. Bayesian data mining in large frequency tables, with an application to the FDA spontaneous reporting system. Am. Stat. 1999, 53(3):177-190.
    • (1999) Am. Stat. , vol.53 , Issue.3 , pp. 177-190
    • DuMouchel, W.1
  • 47
    • 37249009179 scopus 로고    scopus 로고
    • Trends in polypharmacy and potential drug-drug interactions across educational groups in elderly patients in Sweden for the period 1992-2002
    • Haider S.I., Johnell K., Thorslund M., Fastbom J. Trends in polypharmacy and potential drug-drug interactions across educational groups in elderly patients in Sweden for the period 1992-2002. Int. J. Clin. Pharmacol. Ther. 2007, 45(12):643-665.
    • (2007) Int. J. Clin. Pharmacol. Ther. , vol.45 , Issue.12 , pp. 643-665
    • Haider, S.I.1    Johnell, K.2    Thorslund, M.3    Fastbom, J.4
  • 48
    • 84870875674 scopus 로고    scopus 로고
    • Empirical assessment of methods for risk identification in healthcare data: results from the experiments of the observational medical outcomes partnership
    • Ryan P.B., Madigan D., Stang P.E., Marc O.J., Racoosin J.A., Hartzema A.G. Empirical assessment of methods for risk identification in healthcare data: results from the experiments of the observational medical outcomes partnership. Stat. Med. 2012, 31(30):4401-4415.
    • (2012) Stat. Med. , vol.31 , Issue.30 , pp. 4401-4415
    • Ryan, P.B.1    Madigan, D.2    Stang, P.E.3    Marc, O.J.4    Racoosin, J.A.5    Hartzema, A.G.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.