Comparing the Human Papillomavirus Vaccination Opinions Trends from Different Twitter User Groups with a Machine Learning Based System and Semiparametric Nonlinear Regression.

Journal: Studies in health technology and informatics
PMID: 29295305

Abstract

HPV vaccination refusal is a serious public health issue. Opinions on Twitter have are influential to potential consumers on vaccination behaviours. Public opinions toward HPV vaccination were extracted from Twitter by leveraging machine learning models. We used semiparametric nonlinear regression models to study the association between people's public opinions on HPV vaccination at Twitter and the number of followers. Trend patterns of opinions from Twitter users groups with different number of followers were identified and compared.

Authors

  • Jingcheng Du
    University of Texas Health Science Center at Houston, Houston, Texas, USA.
  • Jing Huang
    Department of Nephrology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
  • Rui Duan
    Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA, USA.
  • Yong Chen
    Department of Urology, Chongqing University Fuling Hospital, Chongqing, China.
  • Cui Tao
    The University of Texas Health Science Center at Houston, USA.

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