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Volumn 5, Issue 1, 2014, Pages

Postmarketing drug safety surveillance using publicly available health-consumer-contributed content in social media

Author keywords

Adverse drug reactions; Drug safety signal detection; Health consumer contributed content; Postmarketing surveillance; Social media

Indexed keywords

MONITORING; PHARMACODYNAMICS;

EID: 84899048828     PISSN: 2158656X     EISSN: 21586578     Source Type: Journal    
DOI: 10.1145/2576233     Document Type: Article
Times cited : (61)

References (43)
  • 1
    • 84899063926 scopus 로고    scopus 로고
    • AdverseEvents About us.
    • AdverseEvents. About us. http://www.adverseevents.com/about.php.
  • 2
    • 35148890461 scopus 로고    scopus 로고
    • Using data mining to predict safety actions from FDA adverse event reporting system data
    • Alan, M. H., Stephanie, J. R., Ronald, K. P., Donald, J. O. H., and Kevin, H. 2007. Using data mining to predict safety actions from FDA adverse event reporting system data. Drug Inf. J. 41, 5, 633.
    • (2007) Drug Inf. J. , vol.41 , Issue.5 , pp. 633
    • Alan, M.H.1    Stephanie, J.R.2    Ronald, K.P.3    Donald, J.O.H.4    Kevin, H.5
  • 3
    • 84855919063 scopus 로고    scopus 로고
    • Identifying potential adverse effects using the web: A new approach to medical hypothesis generation
    • Benton, A., Ungar, L., Hill, S., Hennessy, S., Mao, J., Chung, A., and Holmes, J. H. 2011. Identifying potential adverse effects using the web: A new approach to medical hypothesis generation. J. Biomed. Inf. 44, 6, 989.
    • (2011) J. Biomed. Inf. , vol.44 , Issue.6 , pp. 989
    • Benton, A.1    Ungar, L.2    Hill, S.3    Hennessy, S.4    Mao, J.5    Chung, A.6    Holmes, J.H.7
  • 4
    • 84857862696 scopus 로고    scopus 로고
    • Medpie: An information extraction package for medical message board posts
    • Benton, A., Holmes, J., Hill, S., Chung, A., and Ungar, L. 2012. Medpie: An information extraction package for medical message board posts. Bioinf. 28, 5, 743-744.
    • (2012) Bioinf. , vol.28 , Issue.5 , pp. 743-744
    • Benton, A.1    Holmes, J.2    Hill, S.3    Chung, A.4    Ungar, L.5
  • 5
    • 0030896727 scopus 로고    scopus 로고
    • Reasons for reporting adverse drug reactions-Some thoughts based on an international review
    • Biriell, C. and Edwards, I. R. 1997. Reasons for reporting adverse drug reactions-Some thoughts based on an international review. Pharmacoepidemiol. Drug Safety, 6, 1, 21-26.
    • (1997) Pharmacoepidemiol. Drug Safety , vol.6 , Issue.1 , pp. 21-26
    • Biriell, C.1    Edwards, I.R.2
  • 7
    • 0038931405 scopus 로고    scopus 로고
    • Bayesian data mining in large frequency tables, with an application to the FDA spontaneous reporting system
    • DuMouchel, W. 1999. Bayesian data mining in large frequency tables, with an application to the FDA spontaneous reporting system. Amer. Statist. 53, 3, 177-190.
    • (1999) Amer. Statist. , vol.53 , Issue.3 , pp. 177-190
    • Dumouchel, W.1
  • 8
    • 0034619028 scopus 로고    scopus 로고
    • Adverse drug reactions: Definitions, diagnosis, and management
    • Edwards, I. R. and Aronson, J. K. 2000. Adverse drug reactions: Definitions, diagnosis, and management. Lancet 356, 9237, 1255-1259.
    • (2000) Lancet , vol.356 , Issue.9237 , pp. 1255-1259
    • Edwards, I.R.1    Aronson, J.K.2
  • 9
    • 0035700740 scopus 로고    scopus 로고
    • Use of proportional reporting ratios (PRRS) for signal generation from spontaneous adverse drug reaction reports
    • Evans, S. J. W., Waller, P. C., and Davis, S. 2001. Use of proportional reporting ratios (PRRS) for signal generation from spontaneous adverse drug reaction reports. Pharmacoepidemiol. Drug Safety, 10, 6, 483-486.
    • (2001) Pharmacoepidemiol. Drug Safety , vol.10 , Issue.6 , pp. 483-486
    • Evans, S.J.W.1    Waller, P.C.2    Davis, S.3
  • 10
    • 84899048375 scopus 로고    scopus 로고
    • Pew internet: Health
    • Fox, S. 2013. Pew internet: Health. http://www.pewinternet.org/ Commentary/2011/November/Pew-Internet-Health.aspx.
    • (2013)
    • Fox, S.1
  • 11
    • 80053175593 scopus 로고    scopus 로고
    • A review of methods used in assessing non-serious adverse drug events in observational studies among type 2 diabetes mellitus patients
    • Hakobyan, L., Haaijer-Ruskamp, F. M., De Zeeuw, D., Dobre, D., and Denig, P. 2011. A review of methods used in assessing non-serious adverse drug events in observational studies among type 2 diabetes mellitus patients. Health Qual. Life Outcomes 9, 1, 83-83.
    • (2011) Health Qual. Life Outcomes , vol.9 , Issue.1 , pp. 83-83
    • Hakobyan, L.1    Haaijer-Ruskamp, F.M.2    De Zeeuw, D.3    Dobre, D.4    Denig, P.5
  • 13
    • 4644298909 scopus 로고    scopus 로고
    • Early postmarketing drug safety surveillance: Data mining points to consider
    • Hauben, M. 2004. Early postmarketing drug safety surveillance: Data mining points to consider. Ann. Pharmacotherapy 38, 10, 1625-1630.
    • (2004) Ann. Pharmacotherapy , vol.38 , Issue.10 , pp. 1625-1630
    • Hauben, M.1
  • 14
    • 33646744337 scopus 로고    scopus 로고
    • Under-reporting of adverse drug reactions: A systematic review
    • Hazell, L. and Shakir, S. A. W. 2006. Under-reporting of adverse drug reactions: A systematic review. Drug Safety 29, 5, 385-396.
    • (2006) Drug Safety , vol.29 , Issue.5 , pp. 385-396
    • Hazell, L.1    Shakir, S.A.W.2
  • 16
    • 34447552427 scopus 로고    scopus 로고
    • A fuzzy logic-based computational recognition-primed decision model
    • Ji, Y., Massanari, R. M., Ager, J., Yen, J., Miller, R. E., and Ying, H. 2007. A fuzzy logic-based computational recognition-primed decision model. Inf. Sci. 177, 20, 4338-4353.
    • (2007) Inf. Sci. , vol.177 , Issue.20 , pp. 4338-4353
    • Ji, Y.1    Massanari, R.M.2    Ager, J.3    Yen, J.4    Miller, R.E.5    Ying, H.6
  • 18
    • 79955666806 scopus 로고    scopus 로고
    • A Potential causal association mining algorithm for screening adverse drug reactions in postmarketing surveillance
    • Ji, Y., Hao, Y., Dews, P., Mansour, A., Tran, J., Miller, R. E., and Massanari, R. M. 2011a. A Potential causal association mining algorithm for screening adverse drug reactions in postmarketing surveillance. IEEE Trans. Inf. Technol. Biomed. 15, 3, 428-437.
    • (2011) IEEE Trans. Inf. Technol. Biomed. , vol.15 , Issue.3 , pp. 428-437
    • Ji, Y.1    Hao, Y.2    Dews, P.3    Mansour, A.4    Tran, J.5    Miller, R.E.6    Massanari, R.M.7
  • 19
    • 79955666806 scopus 로고    scopus 로고
    • A potential causal association mining algorithm for screening adverse drug reactions in postmarketing surveillance
    • Ji, Y., Ying, H., Dews, P., Mansour, A., Tran, J., Miller, R. E., and Massanari, R. M. 2011b. A potential causal association mining algorithm for screening adverse drug reactions in postmarketing surveillance. IEEE Trans. Inf. Technol. Biomed. 15, 3, 428-437.
    • (2011) IEEE Trans. Inf. Technol. Biomed. , vol.15 , Issue.3 , pp. 428-437
    • Ji, Y.1    Ying, H.2    Dews, P.3    Mansour, A.4    Tran, J.5    Miller, R.E.6    Massanari, R.M.7
  • 20
    • 48449095979 scopus 로고    scopus 로고
    • Mining unexpected temporal associations: Applications in detecting adverse drug reactions
    • Jin, H., Chen, J., He, H., Williams, G. J., Kelman, C., and O'Keefe, C. M. 2008. Mining unexpected temporal associations: Applications in detecting adverse drug reactions. IEEE Trans. Inf. Technol. Biomed. 12, 4, 488-500.
    • (2008) IEEE Trans. Inf. Technol. Biomed. , vol.12 , Issue.4 , pp. 488-500
    • Jin, H.1    Chen, J.2    He, H.3    Williams, G.J.4    Kelman, C.5    O'keefe, C.M.6
  • 22
    • 48249152146 scopus 로고    scopus 로고
    • Hospital admissions associated with adverse drug reactions: A systematic review of prospective observational studies
    • Kongkaew, C., Noyce, P. R., and Ashcroft, D. M. 2008. Hospital admissions associated with adverse drug reactions: A systematic review of prospective observational studies. Ann. Pharmacotherapy, 42, 7, 1017-1025.
    • (2008) Ann. Pharmacotherapy , vol.42 , Issue.7 , pp. 1017-1025
    • Kongkaew, C.1    Noyce, P.R.2    Ashcroft, D.M.3
  • 23
    • 2942735297 scopus 로고    scopus 로고
    • Comparison of data mining methodologies using japanese spontaneous reports
    • Kubota, K., Koide, D., and Hirai, T. 2004. Comparison of data mining methodologies using japanese spontaneous reports. Pharmacoepidemiol. Drug Safety, 13, 6, 387-394.
    • (2004) Pharmacoepidemiol. Drug Safety , vol.13 , Issue.6 , pp. 387-394
    • Kubota, K.1    Koide, D.2    Hirai, T.3
  • 24
    • 0028300446 scopus 로고
    • Computer-assisted evaluation of adverse events using a bayesianapproach
    • Lanctot, K. L. and Naranjo, C. A. 1994. Computer-assisted evaluation of adverse events using a bayesianapproach. J. Clinical Pharmacol. 34, 2, 142-147.
    • (1994) J. Clinical Pharmacol. , vol.34 , Issue.2 , pp. 142-147
    • Lanctot, K.L.1    Naranjo, C.A.2
  • 25
    • 0032522873 scopus 로고    scopus 로고
    • Incidence of adverse drug reactions in hospitalized patients: A meta-analysis of prospective studies
    • Lazarou, J., Pomeranz, B. H., and Corey, P. N. 1998. Incidence of adverse drug reactions in hospitalized patients: A meta-analysis of prospective studies. J. Amer. Med. Assoc. 279, 15, 1200-1205.
    • (1998) J. Amer. Med. Assoc. , vol.279 , Issue.15 , pp. 1200-1205
    • Lazarou, J.1    Pomeranz, B.H.2    Corey, P.N.3
  • 29
    • 84874210162 scopus 로고    scopus 로고
    • Pattern mining for extraction of mentions of adverse drug reactions from user comments
    • Nikfarjam, A. and Gonzalez, G. H. 2011. Pattern mining for extraction of mentions of adverse drug reactions from user comments. In Proceedings of the AMIA Annual Symposium. 1019-1026.
    • (2011) Proceedings of the AMIA Annual Symposium , pp. 1019-1026
    • Nikfarjam, A.1    Gonzalez, G.H.2
  • 30
    • 79959556162 scopus 로고    scopus 로고
    • A novel algorithm for detection of adverse drug reaction signals using a hospital electronic medical record database
    • Park, M. Y., Yoon, D., Lee, K., Kang, S. Y., Park, I., Lee, S. H., and Kim, J. H. 2011. A novel algorithm for detection of adverse drug reaction signals using a hospital electronic medical record database. Pharmacoepidemiol. Drug Safety 20, 6, 598-607.
    • (2011) Pharmacoepidemiol. Drug Safety , vol.20 , Issue.6 , pp. 598-607
    • Park, M.Y.1    Yoon, D.2    Lee, K.3    Kang, S.Y.4    Park, I.5    Lee, S.H.6    Kim, J.H.7
  • 31
    • 79959380528 scopus 로고    scopus 로고
    • Predicting adverse drug reactions using publically available pubchem bioassay data
    • Pouliot, Y., Chiang, A. P., and Butte, A. J. 2011. Predicting adverse drug reactions using publically available pubchem bioassay data. Clinical Pharmacol. Therapeutics 90, 1, 90-99.
    • (2011) Clinical Pharmacol. Therapeutics , vol.90 , Issue.1 , pp. 90-99
    • Pouliot, Y.1    Chiang, A.P.2    Butte, A.J.3
  • 33
    • 4344717733 scopus 로고    scopus 로고
    • Pharmacovigilancein the 21st century: New systematic tools for an old problem
    • Szarfman, A., Tonning, J. M., and Doraiswamy, P. M. 2004. Pharmacovigilancein the 21st century: New systematic tools for an old problem. Pharmacotherapy, 24, 1099-1104.
    • (2004) Pharmacotherapy , vol.24 , pp. 1099-1104
    • Szarfman, A.1    Tonning, J.M.2    Doraiswamy, P.M.3
  • 34
    • 79959379936 scopus 로고    scopus 로고
    • Detecting drug interactions from adverse-event reports: Interaction between paroxetine and pravastatin increases blood glucose levels
    • Tatonetti, N., Denny, J., Murphy, S., Fernald, G., Krishnan, G., Castro, V., and Roden, D. 2011. Detecting drug interactions from adverse-event reports: Interaction between paroxetine and pravastatin increases blood glucose levels. Clinical Pharmacol. Therapeutics, 90, 1, 133-142.
    • (2011) Clinical Pharmacol. Therapeutics , vol.90 , Issue.1 , pp. 133-142
    • Tatonetti, N.1    Denny, J.2    Murphy, S.3    Fernald, G.4    Krishnan, G.5    Castro, V.6    Roden, D.7
  • 36
    • 0033061701 scopus 로고    scopus 로고
    • Signalling possible drug-Drug interactions in a spontaneous reporting system: Delay of withdrawal bleeding during concomitant use of oral contraceptives and itraconazole
    • van Puijenbroek, E. P., Egberts, A. C. G., Meyboom, R. H. B., and Leufkens, H. G. M. 1999. Signalling possible drug-Drug interactions in a spontaneous reporting system: Delay of withdrawal bleeding during concomitant use of oral contraceptives and itraconazole. Brit. J. Clinical Pharmacol. 47, 689-693.
    • (1999) Brit. J. Clinical Pharmacol. , vol.47 , pp. 689-693
    • Van Puijenbroek, E.P.1    Egberts, A.C.G.2    Meyboom, R.H.B.3    Leufkens, H.G.M.4
  • 37
    • 65349157361 scopus 로고    scopus 로고
    • Active computerized pharmacovigilance using natural language processing, statistics, and 22 electronic health records: A feasibility study
    • Wang, X., Hripcsak, G., Markatou, M., and Friedman, C. 2009. Active computerized pharmacovigilance using natural language processing, statistics, and 22 electronic health records: A feasibility study. J. Amer. Med. Inf. Assoc. 16, 3, 328-337.
    • (2009) J. Amer. Med. Inf. Assoc. , vol.16 , Issue.3 , pp. 328-337
    • Wang, X.1    Hripcsak, G.2    Markatou, M.3    Friedman, C.4
  • 39
    • 0034660474 scopus 로고    scopus 로고
    • Thrombotic thrombocytopenic purpura and clopidogrel - A need for new approaches to drug safety
    • Wood, A. J. J. 2000. Thrombotic thrombocytopenic purpura and clopidogrel - A need for new approaches to drug safety. New England J. Med. 342, 24, 1824-1826.
    • (2000) New England J. Med. , vol.342 , Issue.24 , pp. 1824-1826
    • Wood, A.J.J.1
  • 40
    • 33244455464 scopus 로고    scopus 로고
    • Detecting rare adverse events in postmarketing studies: Sample size considerations
    • Wu, Y. T. and Makuch, R. W. 2006. Detecting rare adverse events in postmarketing studies: Sample size considerations. Drug Inf. J. 40, 1, 89-98.
    • (2006) Drug Inf. J. , vol.40 , Issue.1 , pp. 89-98
    • Wu, Y.T.1    Makuch, R.W.2
  • 42
    • 29244475050 scopus 로고    scopus 로고
    • Exploring and developing consumer health vocabularies
    • Zeng, Q. T. and Tse, T. 2006. Exploring and developing consumer health vocabularies. J. Amer. Med. Inf. Assoc. 13, 1, 24-29.
    • (2006) J. Amer. Med. Inf. Assoc. , vol.13 , Issue.1 , pp. 24-29
    • Zeng, Q.T.1    Tse, T.2


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