Seeking insights about cycling mood disorders via anonymized search logs

Journal of Medical Internet Research

Volumn 16, Issue 2, 2014, Pages

  Yom Tov, Elad ^a   White, Ryen W ^a   Horvitz, Eric ^a  

^a MICROSOFT RESEARCH   (United States)

Author keywords

Bipolar disorder; Information retrieval; Machine learning; Mood disorders

Indexed keywords

PSYCHOTROPIC AGENT;

ADULT; ARTICLE; BIPOLAR DISORDER; HUMAN; INFORMATION PROCESSING; INFORMATION RETRIEVAL; INTERNET; MACHINE LEARNING; MOOD DISORDER; SEARCH ENGINE; UTILIZATION REVIEW;

BIPOLAR DISORDER; INFORMATION RETRIEVAL; MACHINE LEARNING; MOOD DISORDERS;

ADULT; BIPOLAR DISORDER; DATA COLLECTION; HUMANS; INTERNET; PSYCHOTROPIC DRUGS; SEARCH ENGINE;

EID: 84897593580     PISSN: None     EISSN: 14388871     Source Type: Journal    
DOI: 10.2196/jmir.2664     Document Type: Article

References (30)

1. Sverdlov G. Forrester. 2012. Understanding the changing needs of US online consumers URL: http://www.forrester.com/ Understanding+The+Changing+Needs+Of+US+Online+Consumers+2012/fulltext/-/ E-RES84361?docid=84361 [accessed 2014-02-12] [WebCite Cache ID 6NKP8yiZv]
2. Fox S, Duggan M. Pew Internet & American Life Project. 2013. Health Online URL: http://www.pewinternet.org/Reports/2013/Health-online.aspx [accessed 2014-02-12] [WebCite Cache ID 6NKPIE7C7]
3. Pelleg D, Yom-Tov E, Maarek Y. Can you believe an anonymous contributor? On truthfulness in Yahoo! Answers. 2012 Presented at: ASE/IEEE International Conference on Social Computing and 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust; 3-5 Sept. 2012; Amsterdam, The Netherlands p. 411-420. [doi:10.1109/SocialCom-PASSAT.2012.13]
4. Eysenbach G. Infodemiology and infoveillance tracking online health information and cyberbehavior for public health. Am J Prev Med 2011 May;40(5 Suppl 2):S154-S158. [doi:10.1016/j.amepre.2011.02.006] [Medline: 21521589]
5. White RW, Horvitz E. Studies on the onset and persistence of medical concerns in search logs. 2012 Presented at: ACM SIGIR conference on Research and Development in Information Retrieval; 2012; Portland, OR, USA p. 265-274. [doi:10.1145/2348283.2348322]
6. 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]
7. Rubin DL, Flanders A, Kim W, Siddiqui KM, Kahn CE. Ontology-assisted analysis of Web queries to determine the knowledge radiologists seek. J Digit Imaging 2011 Feb;24(1):160-164 [FREE Full text] [doi:10.1007/s10278-010-9289-2] [Medline: 20354755]
8. 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]
9. White RW, Drucker SM. Investigating behavioral variability in web search. 2007 Presented at: World Wide Web; 2007; Banff p. 21-30. [doi:10.1145/1242572. 1242576]
10. Lau T, Horvitz E. Patterns of search: Analyzing and modeling web query refinement. 1999 Presented at: User Modeling; 1999; USA p. 119-128.
11. Downey D, Dumais S, Horvitz E. Models of searching and browsing: languages, studies, and applications. 2007 Presented at: International Joint Conference on Artifical intelligence; 2007; Hyderabad.
12. Dupret G, Piwowarski N. A user browsing model to predict search engine click data from past observations. 2008 Presented at: ACM SIGIR conference on Research and Development in Information Retrieval; 2008; Singapore p. 331-338. [doi:10.1145/1390334.1390392]
13. Joachims T. Optimizing search engines using clickthrough data. 2002 Presented at: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; 2002; Edmonton p. 133-142. [doi:10.1145/775047.775067]
14. Richardson M. Learning about the world through long-term query logs. ACM Trans. Web 2008 Oct 01;2(4):1-27. [doi:10.1145/1409220.1409224]
15. Bijl RV, Ravelli A, van Zessen G. Prevalence of psychiatric disorder in the general population: results of The Netherlands Mental Health Survey and Incidence Study (NEMESIS). Soc Psychiatry Psychiatr Epidemiol 1998 Dec;33(12):587-595. [Medline: 9857791]
16. Grant BF, Stinson FS, Dawson DA, Chou SP, Dufour MC, Compton W, et al. Prevalence and co-occurrence of substance use disorders and independent mood and anxiety disorders: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Arch Gen Psychiatry 2004 Aug;61(8):807-816. [doi:10.1001/archpsyc.61.8.807] [Medline: 15289279]
17. comScore. Dec. 2012 US search engine rankings. URL: http://www.comscore. com/Insights/Press-Releases/2013/1/comScore-Releases-December-2012-U.S. -Search-Engine-Rankings [accessed 2014-02-14] [WebCite Cache ID 6NNrKKtFK]
18. McClung CA. Circadian genes, rhythms and the biology of mood disorders. Pharmacol Ther 2007 May;114(2):222-232 [FREE Full text] [doi:10.1016/j. pharmthera.2007.02.003] [Medline: 17395264]
19. Frank E, Gonzalez JM, Fagiolini A. The importance of routine for preventing recurrence in bipolar disorder. Am J Psychiatry 2006 Jun;163(6):981-985. [doi:10.1176/appi.ajp.163.6.981] [Medline: 16741196]
20. Fox S, Karnawat K, Mydland M, Dumais S, White T. Evaluating implicit measures to improve web search. ACM Trans. Inf. Syst 2005 Apr 01;23(2):147-168. [doi:10.1145/1059981.1059982]
21. Ketter TA. Diagnostic features, prevalence, and impact of bipolar disorder. J Clin Psychiatry 2010 Jun;71(6):e14. [doi:10.4088/JCP.8125tx11c] [Medline: 20573324]
22. The numbers count: Mental disorders in America.: National Institute of Mental Health URL: http://www.nimh.nih.gov/health/publications/the-numbers- count-mental-disorders-in-america/index.shtml [accessed 2014-02-14] [WebCite Cache ID 6NNsBGfd1]
23. De Choudhury M, Gamon M, Counts S, Horvitz E. Predicting depression via social media. 2013 Presented at: AAAI Conference on Weblogs and Social Media; 2013; Boston.
24. Duda RO, Hart PE, Strok DG. Pattern Classification and Scene Analysis 2nd ed. In: Pattern classification. New York: John Wiley & sons; 2001.
25. Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 1982 Apr;143(1):29-36. [Medline: 7063747]
26. Langström N, Hanson RK. High rates of sexual behavior in the general population: correlates and predictors. Arch Sex Behav 2006 Feb;35(1):37-52. [doi:10.1007/s10508-006-8993-y] [Medline: 16502152]
27. Stein DJ, Black DW, Shapira NA, Spitzer RL. Hypersexual disorder and preoccupation with Internet pornography. Am J Psychiatry 2001 Oct;158(10):1590-1594. [Medline: 11578986]
28. Li J, McCombs JS, Stimmel GL. Cost of treating bipolar disorder in the California Medicaid (Medi-Cal) program. J Affect Disord 2002 Sep;71(1-3):131-139. [Medline: 12167509]
29. Scott J, Pope M. Nonadherence with mood stabilizers: prevalence and predictors. J Clin Psychiatry 2002 May;63(5):384-390. [Medline: 12019661]
30. Keck PE, McElroy SL, Strakowski SM, Stanton SP, Kizer DL, Balistreri TM, et al. Factors associated with pharmacologic noncompliance in patients with mania. J Clin Psychiatry 1996 Jul;57(7):292-297. [Medline: 8666570]