Comparing the Human Papillomavirus Vaccination Opinions Trends from Different Twitter User Groups with a machine Learning Based System and Semiparametric Nonlinear Regression
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 peoples 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.
Vaccination Machine learning,Social media
Jingcheng Du Jing Huang Rui Duan Yong Chen Cui Tao
School of Biomedical Informatics,University of Texas Health,Houston,TX,USA Department of Biostatistics and Epidemiology,University of Pennsylvania,Philadelphia,PA,USA
国际会议
第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)
苏州
英文
1218-1218
2017-08-21(万方平台首次上网日期,不代表论文的发表时间)