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Author: Admin | 2025-04-28
In social media and health forum posts, and the detection of pregnancy outcomes from user’s timelines in social media. Her expertise is in the development of annotation schema for corpora development.Email: karoc@pennmedicine.upenn.eduProgram CommitteeNigel Collier, University of Cambridge, UKLarry Hunter, University of Colorado, USAHongfang Liu, Mayo Clinic Rochester, USAPierre Zweigenbaum, French National Center for Scientific Research, FranceCecile Paris, CSIRO, AustraliaKirk Roberts, University of Texas Houston, USARobert Leaman, US National Library of Medicine, USAAzadeh Nikfarjam, Nuance Communications, USAEhsan Emazadeh, Google Inc., USAYutaka Sasaki, Toyota Technological Institute, JapanAnne-Lyse Minard, Université d’Orléans, FranceThierry Poibeau, French National Center for Scientific Research, FranceKevin Cohen, University of Colorado, USANicolas Turenne, French National Institute for Agricultural Research, FranceReferencesTeam Gwava. How Much Data is Created on the Internet each Day? 2016. [Online]. Available: https://www.gwava.com/blog/internet-data-created-daily. [Accessed: 03-Jan-2017].Pew Research Center. Social Media Fact Sheet. 2017. [Online]. Available: http://www.pewinternet.org/fact-sheet/social-media/. [Accessed: 03-Mar-2017].Leaman R, Wojtulewicz L, Sullivan R, Skariah A, Yang J, Gonzalez G. Towards Internet-Age Pharmacovigilance: Extracting Adverse Drug Reactions from User Posts to Health-Related Social Networks. In Proc. BioNLP. 2010:117–125.Struik LL, Baskerville NB. The Role of Facebook in Crush the Crave, a Mobile- and Social Media-Based Smoking Cessation Intervention: Qualitative Framework Analysis of Posts. J Med Internet Res. 2014;16(7):e170.Hanson CL, Cannon B, Burton S, Giraud-Carrier C. An exploration of social circles and prescription drug abuse through Twitter. J Med Internet Res. 2013;15(9):e189.Nakhasi A, Passarella RJ, Bell SG, Paul MJ, Dredze M, Provost PJ. Malpractice and Malcontent: Analysing Medical Complaints in Twitter. AAAI Technical Report. Information Retrieval and Knowledge Discovery in Biomedical Text. Johns Hopkins University. 2012.Broniatowski DA, Paul MJ, Dredze M. National and local influenza surveillance through Twitter: Analysis of the 2012-2013 influenza epidemic. PLoS One. 2013;8(12):e83672.Paul MJ, Dredze M. You are what you Tweet: Analyzing Twitter for public health. In Proc. AAAI-ICWSM. 2011:265-272.Kite J, Foley BC, Grunseit AC, Freeman B. Please Like Me: Facebook and Public Health Communication. PLoS One. 2016;11(9): e0162765.Platt T, Platt J, Thiel DB, Kardia SLR. Facebook Advertising Across an Engagement Spectrum: A Case Example for Public Health Communication. JMIR Public Heal Surveil. 2016;2(1):e27.Broniatowski DA, Dredze M, Paul MJ, Dugas A. Using Social Media to Perform Local Influenza Surveillance in an Inner-City Hospital: A Retrospective Observational Study. JMIR Public Heal Surveill.2015;1(1):e5.Sharpe JD, Hopkins RS, Cook RL, Striley CW. Evaluating Google, Twitter, and Wikipedia as Tools for Influenza Surveillance Using Bayesian Change Point Analysis: A Comparative Analysis. JMIR Public Heal. Surveill.2016;2(2):e161.Pimpalkhute P, Patki A, Nikfarjam A, Gonzalez G. Phonetic spelling filter for keyword selection in drug mention mining from social media. AMIA Summits Transl Sci Proc. 2014;2014:90-5.Bernardo TM, Rajic A, Young I, Robiadek K, Pham MT, Funk JA. Scoping review on search queries and social media for disease surveillance: a chronology of innovation. J Med Internet Res. 2013;15(7):e147.Aphinyanaphongs Y, Lulejian A, Brown DP, Bonneau P, Krebs P. Text classification for automatic detection of e-cigarette use and use for smoking cessation from Twitter: A feasibility pilot. Pac. Symp. Biocomput.2016;21:480–91.Aramaki E, Maskawa S, Morita M. Twitter catches the flu: detecting influenza epidemics using Twitter. In Proc. EMNLP. 2011:1568–1576.Nikfarjam A, Sarker A,
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