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Citing this Article

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Published on 18.06.13 in Vol 15, No 6 (2013): June

This paper is in the following e-collection/theme issue:

Works citing "Postmarket Drug Surveillance Without Trial Costs: Discovery of Adverse Drug Reactions Through Large-Scale Analysis of Web Search Queries"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2614):

(note that this is only a small subset of citations)

  1. Sadilek A, Hswen Y, Bavadekar S, Shekel T, Brownstein JS, Gabrilovich E. Lymelight: forecasting Lyme disease risk using web search data. npj Digital Medicine 2020;3(1)
    CrossRef
  2. Hochberg I, Allon R, Yom-Tov E. Assessment of the Frequency of Online Searches for Symptoms Before Diagnosis: Analysis of Archival Data. Journal of Medical Internet Research 2020;22(3):e15065
    CrossRef
  3. Yom-Tov E. Screening for Cancer Using a Learning Internet Advertising System. ACM Transactions on Computing for Healthcare 2020;1(2):1
    CrossRef
  4. Lebwohl B, Yom-Tov E. Symptoms Prompting Interest in Celiac Disease and the Gluten-Free Diet: Analysis of Internet Search Term Data. Journal of Medical Internet Research 2019;21(4):e13082
    CrossRef
  5. Borchert JS, Wang B, Ramzanali M, Stein AB, Malaiyandi LM, Dineley KE. Adverse Events Due to Insomnia Drugs Reported in a Regulatory Database and Online Patient Reviews: Comparative Study. Journal of Medical Internet Research 2019;21(11):e13371
    CrossRef
  6. Yom-Tov E, Lebwohl B. Adverse events associated with colonoscopy; an examination of online concerns. BMC Gastroenterology 2019;19(1)
    CrossRef
  7. Hochberg I, Daoud D, Shehadeh N, Yom-Tov E. Can internet search engine queries be used to diagnose diabetes? Analysis of archival search data. Acta Diabetologica 2019;56(10):1149
    CrossRef
  8. Yom-Tov E. Demographic differences in search engine use with implications for cohort selection. Information Retrieval Journal 2019;22(6):570
    CrossRef
  9. Nitzburg G, Weber I, Yom-Tov E. Internet Searches for Medical Symptoms Before Seeking Information on 12-Step Addiction Treatment Programs: A Web-Search Log Analysis. Journal of Medical Internet Research 2019;21(5):e10946
    CrossRef
  10. Pappa D, Stergioulas LK. Harnessing social media data for pharmacovigilance: a review of current state of the art, challenges and future directions. International Journal of Data Science and Analytics 2019;8(2):113
    CrossRef
  11. Dai H, Wang C. Classifying adverse drug reactions from imbalanced twitter data. International Journal of Medical Informatics 2019;129:122
    CrossRef
  12. Zeraatkar K, Ahmadi M. Trends of infodemiology studies: a scoping review. Health Information & Libraries Journal 2018;35(2):91
    CrossRef
  13. Tricco AC, Zarin W, Lillie E, Jeblee S, Warren R, Khan PA, Robson R, Pham B, Hirst G, Straus SE. Utility of social media and crowd-intelligence data for pharmacovigilance: a scoping review. BMC Medical Informatics and Decision Making 2018;18(1)
    CrossRef
  14. Hauben M, Reynolds R, Caubel P. Deconstructing the Pharmacovigilance Hype Cycle. Clinical Therapeutics 2018;40(12):1981
    CrossRef
  15. Kürzinger M, Schück S, Texier N, Abdellaoui R, Faviez C, Pouget J, Zhang L, Tcherny-Lessenot S, Lin S, Juhaeri J. Web-Based Signal Detection Using Medical Forums Data in France: Comparative Analysis. Journal of Medical Internet Research 2018;20(11):e10466
    CrossRef
  16. Yom-Tov E, Shembekar J, Barclay S, Muennig P. The effectiveness of public health advertisements to promote health: a randomized-controlled trial on 794,000 participants. npj Digital Medicine 2018;1(1)
    CrossRef
  17. Dong J, Yom-Tov E, Yom-Tov GB. The Impact of Delay Announcements on Hospital Network Coordination and Waiting Times. Management Science 2018;
    CrossRef
  18. Gunn LH, ter Horst E, Markossian TW, Molina G, van Wouwe JP. Online interest regarding violent attacks, gun control, and gun purchase: A causal analysis. PLOS ONE 2018;13(11):e0207924
    CrossRef
  19. Oren E, Frere J, Yom-Tov E, Yom-Tov E. Respiratory syncytial virus tracking using internet search engine data. BMC Public Health 2018;18(1)
    CrossRef
  20. Trifirò G, Sultana J, Bate A. From Big Data to Smart Data for Pharmacovigilance: The Role of Healthcare Databases and Other Emerging Sources. Drug Safety 2018;41(2):143
    CrossRef
  21. Giat E, Yom-Tov E. Evidence From Web-Based Dietary Search Patterns to the Role of B12 Deficiency in Non-Specific Chronic Pain: A Large-Scale Observational Study. Journal of Medical Internet Research 2018;20(1):e4
    CrossRef
  22. Menachemi N, Rahurkar S, Rahurkar M. Using Web-Based Search Data to Study the Public’s Reactions to Societal Events: The Case of the Sandy Hook Shooting. JMIR Public Health and Surveillance 2017;3(1):e12
    CrossRef
  23. Yom-Tov E. Predicting Drug Recalls from Internet Search Engine Queries These findings suggest that aggregated Internet search engine data can be used to facilitate in early warning of faulty batches of medicines.. IEEE Journal of Translational Engineering in Health and Medicine 2017;:1
    CrossRef
  24. Yom-Tov E, Lev-Ran S. Adverse Reactions Associated With Cannabis Consumption as Evident From Search Engine Queries. JMIR Public Health and Surveillance 2017;3(4):e77
    CrossRef
  25. Colilla S, Tov EY, Zhang L, Kurzinger M, Tcherny-Lessenot S, Penfornis C, Jen S, Gonzalez DS, Caubel P, Welsh S, Juhaeri J. Validation of New Signal Detection Methods for Web Query Log Data Compared to Signal Detection Algorithms Used With FAERS. Drug Safety 2017;40(5):399
    CrossRef
  26. Tutubalina E, Nikolenko S. Combination of Deep Recurrent Neural Networks and Conditional Random Fields for Extracting Adverse Drug Reactions from User Reviews. Journal of Healthcare Engineering 2017;2017:1
    CrossRef
  27. Paul MJ, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1
    CrossRef
  28. Harpaz R, DuMouchel W, Schuemie M, Bodenreider O, Friedman C, Horvitz E, Ripple A, Sorbello A, White RW, Winnenburg R, Shah NH. Toward multimodal signal detection of adverse drug reactions. Journal of Biomedical Informatics 2017;76:41
    CrossRef
  29. Agarwal V, Zhang L, Zhu J, Fang S, Cheng T, Hong C, Shah NH. Impact of Predicting Health Care Utilization Via Web Search Behavior: A Data-Driven Analysis. Journal of Medical Internet Research 2016;18(9):e251
    CrossRef
  30. Soldaini L, Yates A, Yom-Tov E, Frieder O, Goharian N. Enhancing web search in the medical domain via query clarification. Information Retrieval Journal 2016;19(1-2):149
    CrossRef
  31. Hodos RA, Kidd BA, Shameer K, Readhead BP, Dudley JT. In silicomethods for drug repurposing and pharmacology. Wiley Interdisciplinary Reviews: Systems Biology and Medicine 2016;8(3):186
    CrossRef
  32. White RW, Wang S, Pant A, Harpaz R, Shukla P, Sun W, DuMouchel W, Horvitz E. Early identification of adverse drug reactions from search log data. Journal of Biomedical Informatics 2016;59:42
    CrossRef
  33. Sharma V, Holmes J, Sarkar I. Identifying Complementary and Alternative Medicine Usage Information from Internet Resources. Methods of Information in Medicine 2016;55(04):322
    CrossRef
  34. Yom-Tov E, Brunstein-Klomek A, Hadas A, Tamir O, Fennig S. Differences in physical status, mental state and online behavior of people in pro-anorexia web communities. Eating Behaviors 2016;22:109
    CrossRef
  35. Banda JM, Evans L, Vanguri RS, Tatonetti NP, Ryan PB, Shah NH. A curated and standardized adverse drug event resource to accelerate drug safety research. Scientific Data 2016;3(1)
    CrossRef
  36. Abbasi A, Li J, Abbasi S, Adjeroh D, Abate M, Zheng W. Don't Mention It? Analyzing User-Generated Content Signals for Early Adverse Drug Event Warnings. SSRN Electronic Journal 2015;
    CrossRef
  37. Lardon J, Abdellaoui R, Bellet F, Asfari H, Souvignet J, Texier N, Jaulent M, Beyens M, Burgun A, Bousquet C. Adverse Drug Reaction Identification and Extraction in Social Media: A Scoping Review. Journal of Medical Internet Research 2015;17(7):e171
    CrossRef
  38. Gahr M, Uzelac Z, Zeiss R, Connemann BJ, Lang D, Schönfeldt-Lecuona C. Linking Annual Prescription Volume of Antidepressants to Corresponding Web Search Query Data. Journal of Clinical Psychopharmacology 2015;35(6):681
    CrossRef
  39. Yom-Tov E, Borsa D, Hayward AC, McKendry RA, Cox IJ. Automatic Identification of Web-Based Risk Markers for Health Events. Journal of Medical Internet Research 2015;17(1):e29
    CrossRef
  40. Vasconcellos-Silva PR, Griep RH, Souza MCD. Padrões de acessos a informações sobre proteção antiUV durante os verões brasileiros: haveria um “efeito verão”?. Ciência & Saúde Coletiva 2015;20(8):2533
    CrossRef
  41. Vaughan Sarrazin MS, Cram P, Mazur A, Ward M, Reisinger HS. Patient Perspectives of Dabigatran: Analysis of Online Discussion Forums. The Patient - Patient-Centered Outcomes Research 2014;7(1):47
    CrossRef
  42. Yom-Tov E, Borsa D, Cox IJ, McKendry RA. Detecting Disease Outbreaks in Mass Gatherings Using Internet Data. Journal of Medical Internet Research 2014;16(6):e154
    CrossRef
  43. Polepalli Ramesh B, Belknap SM, Li Z, Frid N, West DP, Yu H. Automatically Recognizing Medication and Adverse Event Information From Food and Drug Administration’s Adverse Event Reporting System Narratives. JMIR Medical Informatics 2014;2(1):e10
    CrossRef
  44. Sampathkumar H, Chen X, Luo B. Mining Adverse Drug Reactions from online healthcare forums using Hidden Markov Model. BMC Medical Informatics and Decision Making 2014;14(1)
    CrossRef
  45. Seo D, Jo M, Sohn CH, Shin S, Lee J, Yu M, Kim WY, Lim KS, Lee S. Cumulative Query Method for Influenza Surveillance Using Search Engine Data. Journal of Medical Internet Research 2014;16(12):e289
    CrossRef
  46. White RW, Hassan A. Content Bias in Online Health Search. ACM Transactions on the Web 2014;8(4):1
    CrossRef
  47. Zheluk A, Quinn C, Hercz D, Gillespie JA. Internet Search Patterns of Human Immunodeficiency Virus and the Digital Divide in the Russian Federation: Infoveillance Study. Journal of Medical Internet Research 2013;15(11):e256
    CrossRef
  48. Hanson CL, Cannon B, Burton S, Giraud-Carrier C. An Exploration of Social Circles and Prescription Drug Abuse Through Twitter. Journal of Medical Internet Research 2013;15(9):e189
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2614)

:
  1. Fernández-Prada C, Douanne N, Minguez-Menendez A, Pena J, Tunes LG, Pires DE, Monte-Neto RL. In Silico Drug Design. 2019. :119
    CrossRef
  2. Tropsha A. Applied Chemoinformatics. 2018. :395
    CrossRef
  3. Nawaz MS, Mustafa RU, Lali MIU. Applying Big Data Analytics in Bioinformatics and Medicine. 2018. chapter 11:272
    CrossRef
  4. Gould AL. Statistical Methods for Evaluating Safety in Medical Product Development. 2014. :345
    CrossRef