Harnessing social media for drug-drug interactions detection

Proceedings - 2013 IEEE International Conference on Healthcare Informatics, ICHI 2013

Volumn , Issue , 2013, Pages 22-29

  Yang, Haodong ^a   Yang, Christopher C ^a  

^a Drexel University   (United States)

Author keywords

Association mining; Drug drug interactions; Online health community; Social media

Indexed keywords

ADVERSE DRUG REACTION (ADRS); ASSOCIATION MINING; DRUG-DRUG INTERACTIONS; ELECTRONIC MEDICAL RECORD; HOSPITAL ADMISSIONS; ONLINE HEALTH COMMUNITIES; ONLINE HEALTHCARE COMMUNITIES; SOCIAL MEDIA;

ELECTRONIC DOCUMENT EXCHANGE; EXPERIMENTS; INFORMATION SCIENCE; MEDICAL COMPUTING; ONLINE SYSTEMS; SIGNAL DETECTION;

DRUG INTERACTIONS;

EID: 84891753658     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICHI.2013.10     Document Type: Conference Paper

References (34)

1. I. R. Edwards and J. K. Aronson, "Adverse drug reactions: definitions, diagnosis, and management," Lancet, vol. 356, pp. 1255-1259, 2000.
2. C. C. Yang, L. Jiang, H. Yang, and X. Tang, "Detecting Signals of Adverse Drug Reactions from Health Consumer Contributed Content in Social Media," Proceedings of ACM SIGKDD Workshop on Health Informatics, Beijing, August 12, 2012.
3. Y. Ji, H. Ying, P. Dews, M. S. Farber, A. Mansour, J. Tran, R. E. Miller, and R. M. Massanari, "A fuzzy recognition-primed decision modelbased causal association mining algorithm for detecting adverse drug reactions in postmarketing surveillance," in 2010 IEEE International Conference on Fuzzy Systems (FUZZ), Barcelona, 2010, pp. 1-8.
4. S. Vilar, R. Harpaz, E. Uriarte, L. Santana, R. Rabadan, and C. Friedman, "Drug-drug interaction through molecular structure similarity analysis," Journal of the American Medical Informatics Association, vol. 19, p. 1066, 2012.
5. N. P. Tatonetti, G. H. Fernald, and R. B. Altman, "A novel signal detection algorithm for identifying hidden drug-drug interactions in adverse event reports," Journal of the American Medical Informatics Association: JAMIA, vol. 19, pp. 79-85, 2012.
6. N. P. Tatonetti, D. M. Roden, R. B. Altman, J. C. Denny, S. N. Murphy, G. H. Fernald, G. Krishnan, V. Castro, P. Yue, P. S. Tsau, and I. Kohane, "Detecting Drug Interactions From Adverse-Event Reports: Interaction Between Paroxetine and Pravastatin Increases Blood Glucose Levels," Clinical Pharmacology &Therapeutics, vol. 90, pp. 133-142, 2011.
7. D. N. Juurlink, M. Mamdani, A. Kopp, A. Laupacis, and D. A. Redelmeier, "Drug-Drug Interactions Among Elderly Patients Hospitalized for Drug Toxicity," JAMA: The Journal of the American Medical Association, vol. 289, pp. 1652-1658, 2003.
8. B. Astrand, E. Astrand, K. Antonov, G. Petersson, i. Naturvetenskapliga, K. Högskolan i, and i. Humanvetenskapliga, "Detection of potential drug interactions-A model for a national pharmacy register," European journal of clinical pharmacology, vol. 62, pp. 749-756, 2006.
9. P. R. Obreli-Neto, W. P. Gaeti, R. K. N. Cuman, A. Nobili, A. de Oliveira Baldoni, C. M. Guidoni, D. P. de Lyra Júnior, D. Pilger, J. Duzanski, M. Tettamanti, and J. M. Cruciol-Souza, "Adverse drug reactions caused by drug-drug interactions in elderly outpatients: a prospective cohort study," European journal of clinical pharmacology, vol. 68, p. 1667, 2012.
10. E. Yukawa, H. To, S. Ohdo, S. Higuchi, and T. Aoyama, "Detection of a drug-drug interaction on population-based phenobarbitone clearance using nonlinear mixed-effects modeling," European Journal of Clinical Pharmacology, vol. 54, pp. 69-74, 1998.
11. E. L. Olvey, S. Clauschee, and D. C. Malone, "Comparison of Critical Drug-Drug Interaction Listings: The Department of Veterans Affairs Medical System and Standard Reference Compendia," Clinical Pharmacology &Therapeutics, vol. 87, pp. 48-51, 2010.
12. P. G. M. van der Heijden, E. P. van Puijenbroek, S. van Buuren, and J. W. van der Hofstede, "On the assessment of adverse drug reactions from spontaneous reporting systems: the influence of under-reporting on odds ratios," Statistics in Medicine, vol. 21, pp. 2027-2044, 2002.
13. C. C. Yang, H. Yang, L. Jiang, and M. Zhang, "Social Media Mining for Drug Safety Signal Detection," Proceedings of ACM CIKM International Workshop on Smart Health and Wellbeing, Maui, Hawaii, October 29, 2012.
14. A. J. J. Wood, "Thrombotic Thrombocytopenic Purpura and Clopidogrel-A Need for New Approaches to Drug Safety," The New England Journal of Medicine, vol. 342, pp. 1824-1826, 2000.
15. R. Harpaz, H. S. Chase, and C. Friedman, "Mining multi-item drug adverse effect associations in spontaneous reporting systems," BMC Bioinformatics, vol. 11 Suppl 9, pp. S7-S7, 2010.
16. B. T. Thakrar, S. B. Grundschober, and L. Doessegger, "Detecting signals of drug-drug interactions in a spontaneous reports database," British journal of clinical pharmacology, vol. 64, pp. 489-495, 2007.
17. R. Leone, L. Magro, U. Moretti, P. Cutroneo, M. Moschini, D. Motola, M. Tuccori, and A. Conforti, "Identifying adverse drug reactions associated with drug-drug interactions: data mining of a spontaneous reporting database in Italy," Drug safety: an international journal of medical toxicology and drug experience, vol. 33, pp. 667-675, 2010.
18. E. P. van Puijenbroek, A. C. G. Egberts, R. H. B. Meyboom, and H. G. M. Leufkens, "Signalling possible drug-drug interactions in a spontaneous reporting system: delay of withdrawal bleeding during concomitant use of oral contraceptives and itraconazole," Br J Clin Pharmacol, vol. 47, pp. 689-693, 1999.
19. E. P. van Puijenbroek, A. C. G. Egberts, E. R. Heerdink, and H. G. M. Leufkens, "Detecting drug-drug interactions using a database for spontaneous adverse drug reactions: an example with diuretics and nonsteroidal anti-inflammatory drugs," European Journal of Clinical Pharmacology, vol. 56, pp. 733-738, 2000.
20. Y. Qian, J. He, X. Ye, W. Du, J. Ren, Y. Sun, H. Wang, B. Luo, Q. Gao, and M. Wu, "A computerized system for detecting signals due to drugdrug interactions in spontaneous reporting systems," British journal of clinical pharmacology, vol. 69, p. 67, 2010.
21. G. N. Norén, R. Sundberg, A. Bate, I. R. Edwards, U. Stockholms, i. Matematiska, and f. Naturvetenskapliga, "A statistical methodology for drug-drug interaction surveillance," Statistics in Medicine, vol. 27, pp. 3057-3070, 2008.
22. Y. Ji, Y. Hao, P. Dews, A. Mansour, J. Tran, R. E. Miller, and R. M. Massanari, "A Potential Causal Association Mining Algorithm for Screening Adverse Drug Reactions in Postmarketing Surveillance," IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, vol. 15, pp. 428-437, 2011 2011.
23. A. Chan, K. Y.-L. Yap, D. Koh, X. H. Low, and Y. T. Cheung, "Electronic database to detect drug-drug interactions between antidepressants and oral anticancer drugs from a cancer center in Singapore: implications to clinicians," Pharmacoepidemiology and Drug Safety, vol. 20, pp. 939-947, 2011.
24. J. E. F. Zwart-van Rijkom, E. V. Uijtendaal, M. J. ten Berg, W. W. van Solinge, and A. C. G. Egberts, "Frequency and nature of drug-drug interactions in a Dutch university hospital," British journal of clinical pharmacology, vol. 68, pp. 187-193, 2009.
25. I. Segura-Bedmar, P. Martínez, and C. de Pablo-Sánchez, "Extracting drug-drug interactions from biomedical texts," BMC Bioinformatics, vol. 11, pp. P9-P9, 2010.
26. I. Segura-Bedmar, P. Martínez, and C. de Pablo-Sánchez, "Combining syntactic information and domain-specific lexical patterns to extract drug-drug interactions from biomedical texts," In: Proceedings of the ACM fourth international workshop on data and text mining in biomedical informatics (DTMBIO'10), pp. 49-56, 2010.
27. I. Segura-Bedmar, P. Martínez, and C. de Pablo-Sánchez, "Using a shallow linguistic kernel for drug-drug interaction extraction," Journal of Biomedical Informatics, vol. 44, pp. 789-804, 2011.
28. Q. T. Zeng and T. Tse, "Exploring and developing consumer health vocabularies," Journal of the American Medical Informatics Association: JAMIA, vol. 13, pp. 24-29, 2006.
29. Q. T. Zeng, T. Tse, G. Divita, A. Keselman, J. Crowell, and A. C. Browne, "Exploring Lexical Forms: First-Generation Consumer Health Vocabularies," AMIA Annual Symposium Proceedings, pp. 1155-1155, 2006.
30. J. Han, M. Kamber, and J. Pei, "Data mining: concepts and techniques," ed: Elsevier, 2006.
31. MedHelp. (1994, 1/29). Medical Information, forums and communities: About Us. Available: http://www.medhelp.org/aboutus.htm
32. C. Knox, V. Neveu, Y. Djoumbou, R. Eisner, A. C. Guo, D. S. Wishart, V. Law, T. Jewison, P. Liu, S. Ly, A. Frolkis, A. Pon, K. Banco, and C. Mak, "DrugBank 3.0: a comprehensive resource for 'omics' research on drugs," Nucleic acids research, vol. 39, p. D1035, 2011.
33. D. S. Wishart, C. Knox, A. C. Guo, D. Cheng, S. Shrivastava, D. Tzur, B. Gautam, and M. Hassanali, "DrugBank: a knowledgebase for drugs, drug actions and drug targets," Nucleic Acids Research, vol. 36, pp. D901-D906, 2008.
34. D. S. Wishart, C. Knox, A. C. Guo, S. Shrivastava, M. Hassanali, P. Stothard, Z. Chang, and J. Woolsey, "DrugBank: a comprehensive resource for in silico drug discovery and exploration," Nucleic acids research, vol. 34, pp. D668-D672, 2006.