A framework for diversifying recommendation lists by user interest expansion

Por Zhang, Zhu, Zheng, Xiaolong, Zeng, Daniel Dajun
Publicado no Knowl Based Syst (2016)

A Matter of Reevaluation: Incentivizing Users to Contribute Reviews in Online Platforms

Por Zhang, Mingyue, Wei, Xuan, Zeng, Daniel Dajun
Publicado no Decis Support Syst (2019)

Using deep learning to improve medication safety: the untapped potential of social media

Por Xie, Jiaheng, Zeng, Daniel Dajun, Marcum, Zachary A.
Publicado no Ther Adv Drug Saf (2017)

Portrayal of electronic cigarettes on YouTube

Por Luo, Chuan, Zheng, Xiaolong, Zeng, Daniel Dajun, Leischow, Scott
Publicado em 2014

Epidemiological and space-time analysis of Beijing Intestinal Infectious Diseases

Por Wang, Jiaojiao, Cao, Zhidong, Zeng, Daniel Dajun, Wang, Quanyi
Publicado no Online J Public Health Inform (2019)

Information Seeking Regarding Tobacco and Lung Cancer: Effects of Seasonality

Por Zhang, Zhu, Zheng, Xiaolong, Zeng, Daniel Dajun, Leischow, Scott J.
Publicado no PLoS One (2015)

Tracking Dabbing Using Search Query Surveillance: A Case Study in the United States

Por Zhang, Zhu, Zheng, Xiaolong, Zeng, Daniel Dajun, Leischow, Scott J
Publicado no J Med Internet Res (2016)

Influence of Flavors on the Propagation of E-Cigarette–Related Information: Social Media Study

Por Zhou, Jiaqi, Zhang, Qingpeng, Zeng, Daniel Dajun, Tsui, Kwok Leung
Publicado no JMIR Public Health Surveill (2018)

Analysis of symptoms and their potential associations with e-liquids’ components: a social media study

Por Li, Qiudan, Zhan, Yongcheng, Wang, Lei, Leischow, Scott J., Zeng, Daniel Dajun
Publicado no BMC Public Health (2016)

Identifying Topics for E-Cigarette User-Generated Contents: A Case Study From Multiple Social Media Platforms

Por Zhan, Yongcheng, Liu, Ruoran, Li, Qiudan, Leischow, Scott James, Zeng, Daniel Dajun
Publicado no J Med Internet Res (2017)

Epidemiological Analysis, Detection, and Comparison of Space-Time Patterns of Beijing Hand-Foot-Mouth Disease (2008–2012)

Por Wang, Jiaojiao, Cao, Zhidong, Zeng, Daniel Dajun, Wang, Quanyi, Wang, Xiaoli, Qian, Haikun
Publicado em 2014

Exploring How the Tobacco Industry Presents and Promotes Itself in Social Media

Por Liang, Yunji, Zheng, Xiaolong, Zeng, Daniel Dajun, Zhou, Xingshe, Leischow, Scott James, Chung, Wingyan
Publicado no J Med Internet Res (2015)

Characterizing Social Interaction in Tobacco-Oriented Social Networks: An Empirical Analysis

Por Liang, Yunji, Zheng, Xiaolong, Zeng, Daniel Dajun, Zhou, Xingshe, Leischow, Scott James, Chung, Wingyan
Publicado no Sci Rep (2015)

Prevalence and Risk Factors of Comorbidities among Hypertensive Patients in China

Por Wang, Jiaojiao, Ma, Jian James, Liu, Jiaqi, Zeng, Daniel Dajun, Song, Cynthia, Cao, Zhidong
Publicado no Int J Med Sci (2017)

Understanding Users’ Vaping Experiences from Social Media: Initial Study Using Sentiment Opinion Summarization Techniques

Por Li, Qiudan, Wang, Can, Liu, Ruoran, Wang, Lei, Zeng, Daniel Dajun, Leischow, Scott James
Publicado no J Med Internet Res (2018)

Comorbidity Analysis According to Sex and Age in Hypertension Patients in China

Por Liu, Jiaqi, Ma, James, Wang, Jiaojiao, Zeng, Daniel Dajun, Song, Hongbin, Wang, Ligui, Cao, Zhidong
Publicado no Int J Med Sci (2016)

Interaction effects between angiotensin‐converting enzyme inhibitors or angiotensin receptor blockers and steroid or antiviral therapies in COVID‐19: A population‐based study

Por Zhou, Jiandong, Tse, Gary, Lee, Sharen, Liu, Tong, Cao, Zhidong, Zeng, Daniel Dajun, Leung, Keith Sai Kit, Wai, Abraham Ka Chung, Wong, Ian Chi Kei, Cheung, Bernard Man Yung, Zhang, Qingpeng
Publicado no J Med Virol (2021)

Development of a multivariable prediction model for severe COVID-19 disease: a population-based study from Hong Kong

Por Zhou, Jiandong, Lee, Sharen, Wang, Xiansong, Li, Yi, Wu, William Ka Kei, Liu, Tong, Cao, Zhidong, Zeng, Daniel Dajun, Leung, Keith Sai Kit, Wai, Abraham Ka Chung, Wong, Ian Chi Kei, Cheung, Bernard Man Yung, Zhang, Qingpeng, Tse, Gary
Publicado no NPJ Digit Med (2021)