Automatic identification of web-based risk markers for health events

Journal of Medical Internet Research

Volumn 17, Issue 1, 2015, Pages e29-

  Yom Tov, Elad ^a   Borsa, Diana ^b   Hayward, Andrew C ^b   McKendry, Rachel A ^b   Cox, Ingemar J ^b,c  

^a MICROSOFT RESEARCH   (United States)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

Epidemiology; Information retrieval query processing; Machine Learning; Self controlled case series; Web search engines

Indexed keywords

ADOLESCENT; ADULT; FEMALE; HUMAN; INFORMATION RETRIEVAL; INTERNET; MALE; PREGNANCY; PUBLIC HEALTH; RISK FACTOR; SEARCH ENGINE; STATISTICS AND NUMERICAL DATA; SUPPORT VECTOR MACHINE;

ADOLESCENT; ADULT; FEMALE; HUMANS; INFORMATION STORAGE AND RETRIEVAL; INTERNET; MALE; PREGNANCY; PUBLIC HEALTH; RISK FACTORS; SEARCH ENGINE; SUPPORT VECTOR MACHINE;

EID: 84922311499     PISSN: None     EISSN: 14388871     Source Type: Journal    
DOI: 10.2196/jmir.4082     Document Type: Article

References (31)

1. Fox S, Duggan M. Pew Research Internet Project. Health Online 2013 URL: http://www.pewinternet.org/2013/01/15/health-online-2013/ [accessed 2015-01-18] [WebCite Cache ID 6Vg9dHRL4]
2. Ofran Y, Paltiel O, Pelleg D, Rowe JM, Yom-Tov E. Patterns of information-seeking for cancer on the internet: an analysis of real world data. PLoS One 2012;7(9):e45921 [FREE Full text] [doi: 10.1371/journal.pone.0045921] [Medline: 23029317]
3. Yom-Tov E, Gabrilovich E. Postmarket 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 [FREE Full text] [doi: 10.2196/jmir.2614] [Medline: 23778053]
4. Eysenbach G. Infodemiology and infoveillance: framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the Internet. J Med Internet Res 2009;11(1):e11 [FREE Full text] [doi: 10.2196/jmir.1157] [Medline: 19329408]
5. Marathe M, Vullikanti A. Computational epidemiology. Commun ACM 2013 Jul 01;56(7):88. [doi: 10.1145/2483852.2483871]
6. Seo DW, Jo MW, Sohn CH, Shin SY, Lee J, Yu M, et al. Cumulative query method for influenza surveillance using search engine data. J Med Internet Res 2014;16(12):e289 [FREE Full text] [doi: 10.2196/jmir.3680] [Medline: 25517353]
7. Eysenbach G. Infodemiology: tracking flu-related searches on the web for syndromic surveillance. AMIA Annu Symp Proc 2006:244-248 [FREE Full text] [Medline: 17238340]
8. Polgreen PM, Chen Y, Pennock DM, Nelson FD. Using internet searches for influenza surveillance. Clin Infect Dis 2008 Dec 1;47(11):1443-1448 [FREE Full text] [doi: 10.1086/593098] [Medline: 18954267]
9. Lampos V, De Bie T, Christianini N. Flu detector-tracking epidemics on Twitter. In: Balcazar JL, editor. Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010. Proceedings, Part ... / Lecture Notes in Artificial Intelligence). Germany: Springer Berlin Heidelberg; 2010:599-602.
10. Kuebler M, Yom-Tov E, Pelleg D, Puhl RM, Muennig P. When overweight is the normal weight: an examination of obesity using a social media internet database. PLoS One 2013;8(9):e73479 [FREE Full text] [doi: 10.1371/journal.pone.0073479] [Medline: 24058478]
11. Yom-Tov E, Boyd Dm. On the link between media coverage of anorexia and pro-anorexic practices on the web. Int J Eat Disord 2014 Mar;47(2):196-202. [doi: 10.1002/eat.22195] [Medline: 24132789]
12. De Choudhury M, Gamon M, Counts S, Horvitz E. Predicting Depression via Social Media. In: Proceedings of the Seventh International AAAI Conference on Weblogs and Social Media. 2013 Presented at: AAAI Conference on Weblogs and Social Media; July 8-11, 2013; Cambridge, Massachusetts p. 128-137 URL: http://www.aaai.org/ocs/index.php/ICWSM/ICWSM13/paper/viewFile/6124/6351 [WebCite Cache]
13. Yom-Tov E, White RW, Horvitz E. Seeking insights about cycling mood disorders via anonymized search logs. J Med Internet Res 2014;16(2):e65 [FREE Full text] [doi: 10.2196/jmir.2664] [Medline: 24568936]
14. Farrington C. Relative incidence estimation from case series for vaccine safety evaluation. Biometrics 1995 Mar;51(1):228-235. [Medline: 7766778]
15. Chang CC, Lin CJ. LIBSVM: A library for support vector machines. 2009. URL: http://www.csie.ntu.edu.tw/~cjlin/papers/libsvm.pdf [accessed 2015-01-18] [WebCite Cache ID 6VgBrjdDU]
16. Duda RO, Hart PE, Stork DG. Pattern classification. New York: John Wiley & Sons; 2001:1-680.
17. Whitaker HJ, Farrington Cp, Spiessens B, Musonda P. Tutorial in biostatistics: the self-controlled case series method. Stat Med 2006 May 30;25(10):1768-1797. [doi: 10.1002/sim.2302] [Medline: 16220518]
18. Wikipedia pre-diabetes page. URL: http://en.wikipedia.org/wiki/Prediabetes [accessed 2015-01-21] [WebCite Cache ID 6VkgYWq1A]
19. Madigan D, Simpson S, Hua W, Paredes A, Fireman B, Maclure M. The Self-Controlled Case Series: Recent developments. 2011. URL: http://www.stat.columbia.edu/madigan/PAPERS/DrugSafety.pdf [accessed 2015-01-18] [WebCite Cache ID 6VgCICgfX]
20. Lagarias JC, Reeds JA, Wright MH, Wright PE. Convergence properties of the Nelder-Mead simplex method in low dimensions. SIAM J Optimization 1998;9(1):112-147 [FREE Full text] [WebCite Cache]
21. Yom-Tov E, Diaz F. The effect of social and physical detachment on information need. ACM Trans Inf Syst 2013 Jan 01;31(1):1-19. [doi: 10.1145/2414782.2414786]
22. Benjamini Y, Hochberg Y. Controlling the False Discovery Rate - a new and powerful approach to multiple testing. J Roy Stat Soc B 1995;57(1):289-300. [doi: 10.2307/2346101]
23. Simpson B, Custovic A, Simpson A, Hallam C, Walsh D, Marolia H, et al. NAC Manchester Asthma and Allergy Study (NACMAAS): risk factors for asthma and allergic disorders in adults. Clin Exp Allergy 2001 Mar;31(3):391-399. [Medline: 11260150]
24. Wright PJ, Randall AK. Internet pornography exposure and risky sexual behavior among adult males in the United States. Computers in Human Behavior 2012 Jul;28(4):1410-1416. [doi: 10.1016/j.chb.2012.03.003]
25. Al-Tayyib AA, McFarlane M, Kachur R, Rietmeijer C. Finding sex partners on the internet: what is the risk for sexually transmitted infections? Sex Transm Infect 2009 Jun;85(3):216-220. [doi: 10.1136/sti.2008.032631] [Medline: 19098059]
26. Alter DA, Eny K. The relationship between the supply of fast-food chains and cardiovascular outcomes. Can J Public Health 2005;96(3):173-177. [Medline: 15913078]
27. Yom-Tov E, Fernandez-Luque L, Weber I, Crain SP. Pro-anorexia and pro-recovery photo sharing: a tale of two warring tribes. J Med Internet Res 2012;14(6):e151 [FREE Full text] [doi: 10.2196/jmir.2239] [Medline: 23134671]
28. Hudson JI, Pope HG, Jonas JM, Yurgelun-Todd D. Phenomenologic relationship of eating disorders to major affective disorder. Psychiatry Res 1983 Aug;9(4):345-354. [Medline: 6580663]
29. NHIS Arthritis Surveillance.: Centers for Disease Control and Prevention Arthritis prevalence in women and men URL: http://www.cdc.gov/arthritis/data-statistics/national-nhis.htm [accessed 2015-01-21] [WebCite Cache ID 6Vkgk70KU]
30. NCHHSTP Atlas.: Centers for Disease Control and Prevention URL: http://gis.cdc.gov/grasp/nchhstpatlas/main.html [accessed 2015-01-21] [WebCite Cache ID 6Vkh2xaK5]
31. Hill AB. The environment and disease: association or causation? Proc Royal Society Med 1965 May;58(5):295-300.